ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Vision

To be identified as learning centre in the domain of Artificial Intelligent and Machine Learning education that delivers competent and professional engineers to meet the needs of industry, society and the nation.

Mission Statements of the Department

  1. To impart skill-based (Artificial Intelligent and Machine Learning) education through competent teaching-learning process.
  2. To establish a research and innovation ecosystem that provides solution for technological challenges of industry, society and the nation.
  3. To set-up industry-institute interface for overall development of students through practical internship and team work activities.
  4. To promote innovation and start-up culture among staff and students for addressing the challenges of needy.

About the Department

The department was established in 2021 to offer an undergraduate degree program, the Bachelor of Engineering (BE) in Artificial Intelligence and Machine Learning (AIML). AIML is at the forefront of computer science, expanding rapidly into sectors such as healthcare, security, entertainment, education, autonomous transportation, robotics, space exploration, speech processing, and stock trading, among others. The pervasive influence of artificial intelligence has profoundly impacted our lives.

AI aims to emulate human intelligence, imparting cognitive abilities to robots. Machine learning (ML), a subset of AI, enables machines to learn autonomously. The emergence of AI and ML has generated numerous career opportunities and is a pivotal driver of digital transformation, creating a high demand for skilled engineers proficient in these technologies. Graduates of this program possess a highly valuable degree, opening doors to employment across various industries. The curriculum emphasizes core competencies in mathematics, network architectures, computer vision, Computer programming, communication networks, machine learning, Artificial Intelligence, and Data Science equipping students to develop intelligent applications that address societal and national needs.

The department actively conducts skill enhancement training programs for both faculty and students, fostering technological advancements and disseminating research findings. It offers soft skills training, technical skill development activities, and encourages self-learning through certification courses available on prominent online platforms (SWAYAM-NPTEL, Coursera, Udemy, edX), as well as extracurricular engagements facilitated by various clubs, aimed at enhancing placement opportunities and fostering overall personality development.

Career Prospects and Market Opportunities

The global Artificial Intelligence market is projected to grow from USD 58.3 billion in 2021 to USD 309.6 billion by 2026, with a Compound Annual Growth Rate (CAGR) of 39.7% during this period. This rapid expansion is impacting all sectors of hardware and software services. Virtually every industry is affected by Artificial Intelligence (AI), creating thousands of job opportunities for qualified engineers specializing in AI and Machine Learning (ML).

A degree in Artificial Intelligence and Machine Learning can lead to diverse career opportunities across industries such as manufacturing, logistics, aviation, healthcare, and finance. It offers enhanced employment prospects for individuals with strong foundational knowledge in data structures, robust problem-solving skills, and proficiency in essential concepts like data mining, deep learning, neural networks, predictive modelling, and popular data science tools such as R, Python, and NumPy. Graduates with expertise in AI and ML can pursue roles including:

  • Data Analyst
  • Data Science Specialist
  • Business Analyst
  • Data Engineer
  • Data Scientist
  • AI/ML Engineer
  • Business Intelligence Engineer
  • Research Scientist
  • Software Engineer
  • System Analyst
  • System Engineer

These roles require hands-on experience and proficiency in applying AI and ML techniques to solve complex problems, driving innovation and efficiency across various domains.

CS Organisation Structure

DAC: Departmental Advisory Committee

Composition
Head of the Department Chairman
Expert from Academia Member
Expert from Industry Member
Accreditation Coordinator Member Secretary
Senior Faculty Member – 1 Member
Senior Faculty Member – 2 Member
Faculty Member Member

DQAC: Departmental Quality Assurance Committe

Composition
Head of the Department Chairman
Accreditation (NBA/NAAC)/Program Coordinator Member Secretary
Assistant Professor – III Member
Assistant Professor – III Member
Assistant Professor – II Member
Assistant Professor – I Member
Dean Accreditation/Dean Academics/Dean Student Welfare/Dean Facility and Infrastructures/Principal Spl. Invitee(s)

Departmental Budget/Purchase Committee

Composition
Head of the Department Chairman
Senior Faculty Member Member Secretary
Accreditation Coordinator Member
R&D Coordinator Member
Faculty Member Member

Departmental Project Assessment Committee (DPAC)

Composition
Head of the Department Chairman
Project Coordinator Coordinator
Senior Faculty Member Member
Guide Member
R&D Coordinator or Domain Expert(s) Spl. Invitee(s)
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"Greetings from the department of Artificial Intelligence and Machine Learning(AI&ML)."

It gives me immense pleasure to introduce the department and its Web pages. With the rapid growth of the technology development in the world, the artificial intelligent systems are becoming a part of life. Therefore, the main goal of the Artificial Intelligence and Machine Learning (AIML) department is to give high-quality technical education in the field of Artificial Intelligence and Machine Learning. The development of intellectual skills that support the growth of career advancement depends on lifelong learning. To improve students' abilities and understanding in the field of computer science and its cutting-edge technologies, we adopt an outcome-based teaching and learning process (AI&ML). Nowadays, with the rapid growth of internet usage from large scale industries to small scale industries and from urban to rural areas due to availability of internet with high-speed broadband, the users have adopted internet as a part of life. With the use of the internet and advanced technologies, the society is consequently facing numerous challenges. The department focuses on these issues, helps students and staff members comprehend them, and inspires them to develop technology solutions to deal with these challenges. We encourage and support the students and staff members of department in research, innovations and entrepreneurship activities to provide technological solutions to the relevant challenges of society. And we are confident that our students, who have a solid understanding of computer basics and real-world experience, will be able to quickly adjust to changes in technology or the software business. In this regard, it gives me immense pleasure to invite you all to be part of Artificial Intelligence and Machine Learning Department to take it to the greater hights.

One machine can do the work of fifty ordinary men. No machine can do the work of one extraordinary man. - Elbert Hubbard (Author). Therefore, become an extraordinary man and I wish you all the best and have great academic careers.

Dr. Basappa B Kodada

FACULTY

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Dr. Basappa Kodada

Professor & HOD

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Dr. Sujatha M

Associate Professor

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Mrs. Kanmani

Assistant Professor

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Mr.Siju V Soman

Assistant Professor

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Mr. Deepak D

Assistant Professor

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Mr. Nagaraj Gadagin

Assistant Professor

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Mr. Arjun K

Assistant Professor

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Mr. Nithin Kurup U G

Assistant Professor

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Mrs. Supriya A V

Assistant Professor

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Mr. Divyesh Divakar

Assistant Professor

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Mr. Kiran Ankalakoti

Assistant Professor

TECHNICAL STAFF

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Mrs. Sowmya D

Lab Instructor

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Mrs. Geetha

Lab Instructor

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Ms. Navyashree

Programmer

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Ms. Swathi

Programmer

The Bachelor of Engineering (BE) in Artificial Intelligence and Machine Learning (AIML) programme is affiliated to Visvesvaraya Technological University (VTU), Belgaum, Karnataka. An Artificial Intelligence and Machine Learning program is a specialized field of study that focuses on developing intelligent systems capable of learning and making decisions without explicit programming. The programme provides a strong foundation and practical exposure to students in various aspects of AI, machine learning, and related technologies. These programs aim to make students industry-ready and equip them with the necessary skills to contribute to solving real-world problems. The skill enhancement training programs conducted by the department are:

AIML Skill set
  • Skill Foundation Programs

    These programs are designed for second-year students and focus on building a strong foundation in key areas such as IoT, Python programming, introduction to machine learning, and tools for AI and ML, providing students with a solid understanding of essential concepts and technologies.

  • Advanced Skill Enhancement Programs

    These programs are intended for third-year students and delve deeper into advanced topics. Students gain in-depth knowledge and skills in areas like Artificial Intelligence, Machine Learning, AIIoT, and Mobile Application Development (ANDROID, FLUTTER, etc). These programs allow students to explore emerging trends and technologies within the domain.

  • Skill Utilization Programs

    In the final year, students participate in utilizing the skill set earned during II, III Year programs to solve real-world problems. In addition to this, the students will be involved in industry internships, placement training, and project work. These programs provide students with valuable practical experience, exposure to real-world projects, and the opportunity to apply their skills in professional careers. This hands-on experience greatly enhances their employability and prepares them for industry roles.

  • Soft Skill Development Courses

    Soft skills are essential for professional success. The department recognizes the importance of effective communication, teamwork, leadership, and problem-solving skills. Soft skill development courses are offered to students throughout their academic journey to enhance their interpersonal and professional abilities.

  • Technical Skill Development Courses

    Alongside the theoretical courses, technical skill development programs are also conducted for students across all years. These courses focus on enhancing technical proficiency in areas relevant to problem-solving using any computer programming language.

  • Self-Learning Encouragement

    Encouraging students to pursue self-learning courses from platforms like NPTEL, Coursera, and Spoken Tutorials (IITB) is one of the mandatory initiatives by the Department of Artificial Intelligence and Machine Learning at CEC. These platforms offer a wide range of online courses and resources that can supplement and enhance students' learning experience

By providing a combination of theoretical knowledge, practical training, and soft skill development, the department ensures that students in the Artificial Intelligence and Machine Learning program are well-prepared to tackle the challenges of the IT industry and contribute to the development of AI systems. These initiatives also enhance their placement opportunities by making them more competitive in the job market.

Annual Intake:- 120

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

The graduates of BE-AIML program four years after graduation will

  1. Design and develop learning-based intelligent systems in the field of artificial intelligent, machine learning, and allied engineering sectors.
  2. Apply skills and knowledge of computer science to address relevant industry and societal problems or pursue higher education and research
  3. Graduates will design and deploy software that meets the needs of individuals and the industries
  4. Engage in lifelong learning, career advancement and adoption of changing professional and societal needs

PROGRAMME OUTCOMES (PO)

Engineering graduates in Artificial Intelligence and Machine Learning will be able to:

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
  2. Problem analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
  3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal and environmental considerations.
  4. Conduct investigations of complex problems: Use research-based knowledge and research methods, including design of experiments, analysis and interpretation of data and synthesis of the information to provide valid conclusions.
  5. Modern tool usage: Select/Create and apply appropriate techniques, resources and modern engineering and IT tools, including prediction and modelling to complex engineering activities, taking comprehensive cognizance of their limitations.
  6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  7. Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development.
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the relevant scientific and/or engineering practices.
  9. Individual and team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.
  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with the society-at-large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.
  11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work as a member and leader in a team to manage projects and in multidisciplinary environments.
  12. Life-long learning: Recognize the need for and above have the preparation and ability to engage in independent and life-long learning in the broadcast context of technological changes.

PROGRAMME SPECIFIC OUTCOMES (PSOs)

  1. Intelligent Systems: Select appropriate technologies to analyse, design, implement, and deployment of smart and intelligent systems
  2. Contemporary Systems: Design, and development of efficient IT solutions for challenging issues through experiential learning

Course Outcomes(CO)

NEWSLETTERS


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LABORATORIES

The department is well equipped with laboratory facilities like the Data Structures and Algorithm Laboratory and the Machine Learning Laboratory. These laboratory facilities play a crucial role in providing students with hands-on experience and practical exposure to the concepts and technologies taught in the classroom.

Data Structures and Algorithm Laboratory (AIL01): This lab is designed to help students understand and implement various experiments of data structures and algorithms, and also Ability Enhancement Courses with practical approaches. It provides an environment for students to practice coding, analyze the efficiency of different algorithms, and solve complex problems. The laboratory is equipped with 35 computer systems with the necessary software tools required for implementing and testing academic laboratory experiments. Academic Labs: Data Structures, DAA

Machine Learning Laboratory (AIL02): The Machine Learning Laboratory is dedicated to providing students with practical experience in developing and applying machine learning algorithms. The lab is equipped with powerful computing resources and software tools for tasks such as data pre-processing, model training, and evaluation. Students can work on real-world datasets and projects to gain insights into machine learning techniques, experiment with different algorithms, and evaluate their performance. Academic Labs: Python Programming, Machine Learning.

Data Processing and Visualization Laboratory (AIL03): The Data Processing and Visualization Laboratory is equipped with computer systems that supports to implement and run the applications of artificial intelligence and machine learning experiments. The laboratory is installed with data visualization tools to facilitate intensive data analysis and modelling tasks. With access to leading software platforms and frameworks, students can explore and implement algorithms for data preprocessing, feature extraction, statistical analysis, and machine and deep learning model development.

TUTORIAL AND CLASSROOMS

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Classrooms: The classrooms are equipped with modern facilities like seating arrangements, and ample natural lighting, these spaces foster engaging lectures, discussions, and group activities. This helps the students and faculty community in interactive teaching learning environment and collaboration. Furthermore, ICT tools (Projectors for Smart Teaching) solutions enable instructors to deliver dynamic presentations and conduct live demonstrations ensuring a seamless educational experience for all participants.

Tutorial Rooms: A dedicated tutorial room is provided to offer a conducive setting for problem-solving sessions, and hands-on workshops as per the University Curriculum. The tutorial room will also help to promote interactive learning and peer-to-peer collaboration, these rooms are equipped with whiteboards, projectors to facilitate effective communication and knowledge sharing. The tutorial rooms provide a supportive environment conducive to academic fulfilment and success.

STAFF ROOMS

Our staffrooms serve as dedicated spaces for faculty members prepare course materials, and engage in scholarly activities. Equipped with comfortable furnishings and networked workstations, these rooms offer a conducive environment for productive discussions and interdisciplinary collaboration. Whether faculty members are conducting research, holding office hours, or mentoring students, our staffrooms provide a welcoming atmosphere to the professional growth and academic excellence.

DEPARTMENT LIBRARY

The department library is a valuable resource hub for students, faculty members and stocked with the collection of textbooks, reference materials covering various courses of artificial intelligence and machine learning.

S.No Items Count
1 Number of Book Titles available 48
2 Number of Volumes available 71

UNIVERSITY RESULTS

CERTIFICATION COURSES

AWARDS IN EVENTS

PARTICIPATION IN TECHNICAL EVENTS

PARTICIPATION IN NON-TECHNICAL EVENTS

DOMAIN OF RESEARCH

  • Artificial Intelligence
  • Machine Learning
  • Internet of Things and Robotics
  • Deep Learning
  • Industrial Automation
  • Cloud Computing
  • Cryptography and Information Security

FACULTY ACHIEVEMENTS

FACULTY PURSUING DOCTORAL STUDIES

S.No. Faculty Name Research Domain University
1. Kanmani Computer Vision VTU Belagavi
2. Siju V Soman Internet of Things Kalasalingam University,TN
3. Divyesh Divakar Control Systems, Machine Learning VTU Belagavi
4. Nithin Kurup U G Internet of Things VTU Belagavi
5. Deepak D Deep Learning VTU Belagavi
6. Nagaraj Gadagin Image Processing VTU Belagavi

NEWSLETTERS


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Online Hands-On Workshop on Basics of Prompt Engineering (30-11-2024)

The Department of Artificial Intelligence and Machine Learning successfully conducted an Online Hands-On Workshop on Basics of Prompt Engineering on 30th November 2024. The session was exclusively organized for third-year AI & ML and CS&BS students, with over 70 students benefiting from this highly informative and interactive event. The workshop was delivered by Mr. Tasheer Hussain, Senior AI Engineer at DAMAC Properties, Dubai. His expertise in Prompt Engineering, a crucial area in modern AI applications, provided the attendees with practical knowledge and techniques to design effective AI prompts. The workshop was coordinated by Mr. Divyesh Divakar, Assistant Professor, AIML Department. This enriching event marks yet another milestone in our department's continuous efforts to provide students with cutting-edge learning experiences.


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Problem Solving through C Foundation – Series 7 (27-11-2024)

The Department of Artificial Intelligence and Machine Learning (AIML) conducted Series 7 of the Problem-Solving Through C Foundation for third-semester students, focusing on pointers. The session was led by resource persons Dr. Sujatha M, Associate Professor, and Mr. Nithin Kurup U G, Assistant Professor, Dept. of AIML. Key topics included an introduction to pointers and pointer variables, pointer arithmetic, pointers and arrays, and passing pointers to functions. The session emphasized the critical role of pointers in efficient memory management and program optimization. Students gained hands-on experience through practical examples and real-world problem-solving exercises. The resource persons provided detailed explanations and interactive demonstrations to ensure clarity and understanding. The session fostered active student engagement and curiosity about advanced programming concepts. Overall, the session strengthened foundational programming knowledge and prepared students for complex applications in C programming.


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Mob-App Dvelopment using Flutter (22-11-2024)

Mr. Shashank S Mayya's sessions covered the following topics: Introduction to Flutter Basic Components of Flutter Building Basic UI using Flutter Developing an App using REST API His expertise and interactive approach made the workshop both informative and engaging for all participants.


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Problem Solving through C Foundation – Series 6 (20-11-2024)

The Department of Artificial Intelligence and Machine Learning (AIML) successfully conducted Series 6 of the Problem-Solving Through C Foundation for third-semester students, focusing on functions. The session was led by resource persons Dr. Basappa B Kodada, Associate Professor & HoD, and Mr. Siju V Soman, Assistant Professor, Dept. of AIML. Key topics covered included function declaration and definition, function parameters, return values, local and global variables, and recursive functions. The session provided students with in-depth knowledge of functions, a fundamental concept in programming. Practical demonstrations were integrated to enhance understanding. Students learned to implement and optimize real-world problem-solving techniques using functions. This initiative aimed to strengthen their logical thinking and programming skills. The session was interactive with active participation and discussion. Overall, the session equipped students with essential skills for advanced C programming and problem-solving.


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Industry Exposure & Field Visit (15-11-2024)

An Industrial Exposure & Field Visit to explore the emerging areas of Technologies was organized by Artificial Intelligence and Machine Learning Department for the third-year students on 15th November 2024 to Experion Technologies (India) Private Limited, Info Park, Kochi in association with IEEE Mangalore Subsection and IIC (Institution’s Innovation Council). Experion Technologies, founded in 2006, is a Global Product Engineering Services company offering enterprises future-ready and transformative digital solutions. The organization’s product engineering maestros work out of 3 development centers in India – Trivandrum, Kochi, and Bangalore, and 8 global offices across Europe, Asia-Pacific, and North America. The team from Experion Technologies gave a presentation on Artificial Intelligence with the help of real-life examples touching the concepts in line with Machine Learning and Exploratory Data Analysis. Mr. Siju V Soman, Assistant Professor (AI&ML) and Mrs. Babitha Ganesh Kulal, Assistant Professor (CSE) coordinated the visit with 49 students. 0


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Exposure Visit to Incubation Units and CoEs (15-11-2024)

The industrial visit to the MAHE-ISAC Centre of Excellence for Cybersecurity and the Manipal Universal Technology Business Incubator (MUTBI) offered second-year AIML students a unique opportunity to bridge theoretical knowledge with practical industry exposure. At the cybersecurity center, students explored advanced technologies in threat detection, ethical hacking, and incident response, gaining a comprehensive understanding of real-world cybersecurity challenges. The MUTBI visit emphasized the significance of entrepreneurship, showcasing how startups are nurtured through mentorship, funding, and innovation. Students engaged with professionals, observed live demonstrations, and learned about successful ventures. This experience inspired students to consider diverse career paths while highlighting the importance of both technical expertise and entrepreneurial thinking. Overall, the visit was highly educational and aligned with their academic and professional aspirations.


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Problem Solving through C Foundation – Series 5 (06-11-2024)

The Department of Artificial Intelligence and Machine Learning (AIML) conducted Series 5 of the Problem-Solving Through C Foundation for third-semester students, focusing on strings. Led by resource persons Dr. Basappa Kodada, Associate Professor & HOD of AIML, and Dr. Sujatha M, Associate Professor in the AIML department, the session covered key topics such as declaring and initializing strings, common string functions, and string manipulation techniques. This session aimed to enhance foundational skills essential for solving computational problems, building on previous lessons in C programming.


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Problem Solving through C Foundation – Series 4 (30-10-2024)

The Department of Artificial Intelligence and Machine Learning (AIML) conducted Series 4 of the Problem-Solving Through C Foundation for third-semester students, with a focus on arrays. Led by resource persons Mr. Deepak D and Mr. Kiran Ankalakoti, the session explored problem-solving using arrays through real-world applications, including a hospital triage system, smart home system, and ATM machine scenarios.


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Branch Entry (26-10-2024)

The Branch Entry was organized by the Cultural & Arts Committee in CEC for the 3rd semester students at the Open Air Auditorium (Main Stage). Dr. Nagesh H.R Principal(CEC) inaugurated the event. Around 30 students participated in various events. The event concluded by around 5 PM with various cultural events like dance & skit.


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Ayudha Pooja Celebration (26-10-2024)

Ayudha Pooja was celebrated in the department of Artificial Intelligence & Machine Learning as a aprt of Dussehra to seek the divine blessings of Lord Saraswati which will give more positive power to all the stakeholders in the department to prosper. The Faculty, staff & students of the department arranged the Mandap with flowers and other offerings as prasada. The pandit visited the department laboratory AIL-02 (Machine Learning Lab) to perform the pooja and wished the department to have more admissions and placements in future.


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Internet of Things-Problems to Proof of concept (23-10-2024)

The "Internet of Things - Problems to Proof of Concept" workshop, held from October 23rd to 25th, 2024, was organized by the department of Artificial Intelligence and Machine Learning, benefiting 129 students. Led by Mr. Gopala Krishna Bhat and supported by three trainers, the workshop covered essential IoT topics, including sensor integration, ESP32 circuits, cloud data uploading, and MicroPython programming. The final day featured a mini-project exhibition, where nearly 30 student batches presented their innovative IoT-based projects, applying what they learned to real-world scenarios. This hands-on workshop provided participants with foundational skills in IoT, fostering creativity, teamwork, and practical problem-solving. Feedback from the students was highly positive, marking the event as a resounding success in advancing technical knowledge and application.


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Problem-Solving Through CFoundation - Series 3 (16-10-2024)

The Department of Artificial Intelligence and Machine Learning (AIML) conducted Series 3 of the "Problem-Solving Through C Foundation" for III-semester students, with a focus on arrays. The session covered essential concepts, including the declaration and initialization of one-dimensional and multi-dimensional arrays in C. Students learned how to access individual elements within arrays, perform basic operations like traversal, searching, and modification, and understood the importance of arrays in organizing and manipulating data efficiently. This session provided foundational skills critical for solving computational problems, building on previous lessons in C programming.


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MERN Stack Series: Getting Started with React. (16-10-2024)

The Department of Artificial Intelligence and Machine Learning, in collaboration with the Design Club, recently hosted an engaging session on "Getting Started with React." This insightful session was led by Neha, a 4th-year CSE student, showcasing her expertise in web development. The event saw enthusiastic participation from 8 students, who gained valuable knowledge about React's fundamentals and practical applications.


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Unlocking the Basics of Machine Learning (15-10-2024)

The Department of Artificial Intelligence & Machine Learning, Canara Engineering College, successfully conducted a two-day workshop on "Unlocking the Basics of Machine Learning" on 15th and 16th October 2024. The event, organized in collaboration with Accolade Tech Solutions Pvt. Ltd., was aimed at providing students with hands-on experience and practical knowledge of machine learning concepts. The workshop was inaugurated by the Principal and witnessed the participation of Deans, Heads of Departments, faculty members, students, and the resource person, Mr. Harish Neermarga, Founder and Managing Director of Accolade Tech Solutions. Mr. Harish's sessions covered key aspects of machine learning, including data preprocessing, model building, and evaluation, all demonstrated using real-world datasets. His expertise and interactive approach made the workshop both informative and engaging for participants. The workshop received an overwhelming response from the students, with excellent feedback highlighting the effectiveness of the hands-on sessions and the clarity of instruction. The workshop concluded with a vote of thanks. The department extends its gratitude to Mr. Harish for his invaluable contribution and looks forward to organizing more such events to support the continuous learning and skill development of its students.


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GearUP (03-10-2024)

The Department of Artificial Intelligence and Machine Learning organized "GearUp" - A special event for all students of the department on 3rd October 2024. Dr. Demian D'Mello, Vice Principal inaugurated the event. Dr. Udaya Kimar Shenoy, Dean R&D and HoD Computer Science and Engineering delivered motivational talk on "My life and my career". The blend of technical challenges with fun games created a vibrant atmosphere, encouraging learning and teamwork in an enjoyable way. The event was coordinated by Mr. Divyesh Divakar, Asst Prof.


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MERN Stack Series -1 (25-09-2024)

The Department of Artificial Intelligence and Machine Learning, in collaboration with the Design Club, conducted an insightful session on "Introduction to Web Development." This session provided a comprehensive overview of web development, guiding participants through the fundamentals of HTML, CSS, and JavaScript. Attendees learned how to structure web pages using HTML, style them with CSS, and add interactivity with JavaScript. The session was led by Mr. Nishal N Thingalaya, a 4th-year CSE student, and saw enthusiastic participation from 17 students.


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Problem-Solving Through CFoundation - Series 2 (25-09-2024)

The Department of Artificial Intelligence and Machine Learning (AIML) conducted Series 2 of the Problem-Solving Through C Foundation workshop on September 25, 2024, for III-semester students. The workshop focused on mastering control structures in the C programming language, covering essential topics like conditional statements (if, if-else, else-if, switch-case) and loops (for, while, do-while). Additionally, the session included practical applications of break and continue statements, enhancing students' programming logic and problem-solving skills.


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Problem-Solving Through C Foundation - Series 1 (18-09-2024)

The Department of Artificial Intelligence and Machine Learning (AIML) conducted Series 1 of a Problem-Solving Through C Foundation on September 18, 2024, for III-semester students. The workshop focused on essential concepts like variables, data types, and input/output operations, covering topics such as data types, variable declaration, initialization, and scope. Participants were introduced to input/output functions like printf() and scanf(), format specifiers, and type casting. Additionally, various operators and expressions—arithmetic, relational, logical, assignment, and bitwise operators—were discussed to enhance problem-solving skills.


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Faculty Skill Enrichment Program (10-07-2024)

This program offers a brief introduction to the mathematical concepts required to build many common machine-learning techniques. This is an initiative to enhance the skill set of faculties in machine learning by providing a strong foundation of mathematics. The session is focused on the following 1 Basics of Linear Algebra 2 Basics of Calculus: Derivatives, Gradients 3 Neural Networks 4 Gradients in a Deep Network 5 Backpropagation 6 Example of Backpropagation in Machine Learning


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Internet of Things (08-07-2024)

Day 1: • Introduction to IOT • Getting started with ESP32 ESP-WROOM-32-devkit V1 board hardware overview ESP32-WROOM-32 pinout reference • ESP32 – Programming Different IDE for ESP32 Using MicroPython Flash/Upload MicroPython Firmware to ESP32 • ESP32 Hands-on Projects (using Arduino IDE and MicroPython) Day 2: Overview of Python Programming ML-based prediction using Numerical Data ML-based analysis and prediction using string data Day 3: Hands-On Projects by Students


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“Opportunities and Preparation Guidelines for GATE” (03-07-2024)

The event titled "Opportunities and Preparation Guidelines for GATE" was organized for 3rd-year AIML and CSBS students at Canara Engineering College with 100 students participated in the program. The session aimed to provide a comprehensive overview of the Graduate Aptitude Test in Engineering (GATE), highlighting its significance for higher education and career opportunities in engineering and technology. Expert speakers shared valuable insights on effective study strategies, time management, and resource utilization to excel in the GATE exam. The event also included interactive discussions. Emphasis was placed on the importance of continuous learning and staying updated with the latest advancements in the field. Overall, the event aimed to equip students with the knowledge and skills necessary to succeed in the GATE exam.


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Faculty Skill Enrichment Program (03-07-2024)

This program offers a brief introduction to the mathematical concepts required to build many common machine-learning techniques. This is an initiative to enhance the skill set of faculties in machine learning by providing a strong foundation of mathematics


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A Talk on Stress Management (02-07-2024)

Stress management is essential for students due to their unique pressures, such as academic demands, social challenges, and future career concerns.


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A Talk on Time Management (01-07-2024)

A Talk on Time Management was organized by Artificial Intelligence and Machine Learning Department for the second-year students on 01st July 2024 in association with Department of Student Welfare, CEC, Mangalore. This talk has been arranged exclusively for the 4th semester AIML students as they expressed in the Class Committee meeting that they are unable to manage the time in completing their responsibilities on time. The resource person for the talk was Ms. Sandhya Poojary, Assistant Professor & Counsellor, Canara Engineering College, Mangalore. During the session, the resource person conducted a group activity to make them learn about the different parameters involved in time management techniques. Mr. Siju V Soman, Assistant Professor, Department of AI&ML was the convenor of this talk and a total of 50 students attended the session.


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Industrial Visit to COMEDKARES Innovation Hub (26-06-2024)

An Industrial Visit was organized by Artificial Intelligence and Machine Learning Department for the second-year students on 26th June 2024 to COMEDKARES Innovation Hub , Mangalore in association with IIC (Institution’s Innovation Council). COMEDKARES Innovation Hub has been set up in Mangalore as an initiative from Consortium of Medical, Engineering and Dental Colleges of Karnataka (COMEDK) to help the budding engineers get upgraded in their 21st Century skills as well as the latest technologies like AI, ML, IOT so that they are more employable and ready for industry. During the visit they explained about building a BOT and gave an opportunity for the students to assemble the parts and build a bot. Mr. Siju V Soman, Assistant Professor, Department of AI&ML was the convenor of this industrial visit. A total of 56 students and 1 faculty member participated in this event.


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A Technical Talk on (22-06-2024)

The Department of AIML hosted a technical talk on "Applications of Data Science" on June 22, 2024, at Seminar Hall 2, with Ms. Malani Lisha Dsouza, Data Analyst, Business Intelligence at UniCourt, as the resource person. The event drew participation from 58 enthusiastic students of the 4th semester AIML. The importance of exploring Data Science domain was emphasized in the opening remarks by Principal Dr. Nagesh H R and HoD Dr. Basappa B Kodada. The session covered diverse topics including real-world applications like marketing campaigns, consumer behaviour analysis, and the development of Minimum Viable Products, with a focus on innovative technologies like ChatGPT. The speaker emphasized the significance of statistical intuition and thorough Exploratory Data Analysis in business contexts. Key aspects such as the skills required for data scientists, the four pillars of Data Science, and the Data Science lifecycle were discussed, actively engaging the audience. The event was coordinated by Mrs. Supriya A V, Assistant Professor, Department of AIML and assisted by Ms. Disha Suraj Kallya of 4th semester AIML.


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MERN Stack Series: Integrating MongoDB with Node.js (12-06-2024)

The Department of Artificial Intelligence and Machine Learning, in association with the Design Club, hosted an engaging session on "Integrating MongoDB with Node.js." This session provided a comprehensive introduction to the MongoDB database, followed by a demonstration on how to connect Node.js with MongoDB using Mongoose. Participants were also guided through performing CRUD (Create, Read, Update, Delete) operations with MongoDB. The session was conducted by Mr. Adithya Pai, a distinguished alumni of Canara Engineering College, and attracted the participation of 46 students.


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MERN Stack Series: Building APIs with Express.js and Node.js (05-06-2024)

The Department of Artificial Intelligence and Machine Learning, in association with the Design Club, conducted an insightful session on "Building APIs with Express.js and Node.js." This session provided an in-depth introduction to the Express.js framework, guiding participants through the process of setting up a Node.js server. Attendees learned how to create RESTful APIs using Express as well as how to handle HTTP requests and responses effectively. The session was led by Mr. Adithya Pai, a distinguished alumni of Canara Engineering College, and saw the enthusiastic participation of 55 students.


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Faculty Skill Enrichment Program (05-06-2024)

This program offers a brief introduction to the mathematical concepts required to build many common machine-learning techniques. This is an initiative to enhance the skill set of faculties in machine learning by providing a strong foundation of mathematics


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Industry Visit (31-05-2024)

A one-day Industrial Visit was organized by Artificial Intelligence and Machine Learning Department for the second-year students on 31st May 2024 to Manipal Universal Technology Business Incubator (MUTBI) and ISAC Centre of Excellence for Cyber Security, Manipal in association with IEEE Mangalore Subsection and IIC (Institution’s Innovation Council). Manipal Universal Technology Business Incubator (MUTBI) and ISAC Centre of Excellence for Cyber Security are the initiatives of Manipal Academy of Higher Education, Manipal, and they provide services to students, faculty, alumni as well as people of the region to start their own Venture in line with the social objectives of Government of India. Mr. Siju V Soman, Assistant Professor, Department of AI&ML was the convenor of this industrial visit. A total of 61 students and 3 faculty members participated in this event.


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MERN Stack Series: Getting Started with React (29-05-2024)

The "Getting Started with React" session, organized by the Dept. of AI&ML in association with Design Club, This Session provided an introduction to the React.js library. Participants learned how to set up a React development environment and explored fundamental concepts such as components, props, and state. This session equipped attendees with the essential knowledge to begin developing applications using React. A total of 65 students participated in this session.


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Workshop on Advanced Machine Learning (31-01-2024)

Department of Artificial Intelligence and Machine Learning organized 2 days Hands-on Workshop on "Advanced Machine Learning" on 31st January and 1st February 2024. 62 students of 3rd year AIML department, 2 students from CSE department and 2 students from ECE department actively participated in this workshop. Mr. Harish Kumar, CEO, Accolade Tech Solutions and his team led the hands on sessions in skill lab. They gave practical insights into various preprocessing techniques, Deep Learning techniques and Natural Language Processing. The workshop was coordinated by Mr. Divyesh Divakar, Assistant Professor, AIML department.


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IDEATHON (24-01-2024)

IDEATHON – an idea presentation competition was organized by Artificial Intelligence and Machine Learning Department in association with Department of Computer Science and Design, Department of Computer Science and Business System and Institution Innovation Council IIC (Institution’s Innovation Council) CEC Chapter on 24th January 2024 on the theme “Sustainable Development”. The competition was organized exclusively for all the 3rd year students of the institute as an outcome of their recently completed societal based internship. The competition started with Poster presentation as Round-1 in Skill Lab and thereafter the shortlisted teams pitched their ideas with PPT in the final Round-2 in Basic Computing Lab, Canara Engineering College, Benjanapadavu, Mangalore. The ideas were evaluated by a team of expert jury members Dr. Madhukar S.M, CEO of “Innaumation Medical Devices Pvt. Ltd.”, Bengaluru; Dr. N Satheesh Kumar, H.O.D of Science & Humanities department; and Mr. Narayan Swamy R, Assistant Professor, Mechanical Engineering department, CEC. The valedictory function was held at 3:30 PM in Seminar Hall – 2. The faculty coordinator Mr. Siju V Soman, Assistant Professor in AI&ML department welcomed the external expert jury member Dr. Madhukar S.M, Dr. Demian Antony D’Mello – Vice Principal, the H.O.Ds Dr.Basappa B Kodada (AIML Dept.), Dr. Manoj Gadiyar (CSBS Dept.), Dr. Praahas Amin (CSD Dept.), the jury members and the student participants. The three top ideas were rewarded with cash prizes during the valedictory function, and the expert jury member shared his feedback on the ideas presented by the teams and motivated them to take it forward in developing a practical solution in the future. The faculty coordinator proposed the vote of thanks and the program was concluded by 4:00 PM.


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Workshop on Generative AI: Crafting Custom Solutions for your need using Open AI (20-12-2023)

A 2-hour session on generative AI which covered key concepts, hands-on exercises, and discussions. The workshop gave an overview of Generative AI, Types of Generative Models, Key Concepts and Hands-on Exercise. Students were able to gain a foundational understanding of generative AI concepts, including how it differs from other forms of AI and its applications and also understand the challenges and limitations associated with generative AI, including ethical considerations and potential biases.


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Workshop on Generative AI: Crafting Custom Solutions for your need using Open AI (20-12-2023)

A 2-hour session on generative AI which covered key concepts, hands-on exercises, and discussions. The workshop gave an overview of Generative AI, Types of Generative Models, Key Concepts and Hands-on Exercise. Students were able to gain a foundational understanding of generative AI concepts, including how it differs from other forms of AI and its applications and also understand the challenges and limitations associated with generative AI, including ethical considerations and potential biases.


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Technical Talk on "Be Curious about AI" (05-12-2023)

The Department of AIML hosted a Technical Talk on “Be Curious with AI” on 05-12-2023 at AC seminar Hall, Canara Engineering College. The session was presided by Principal Dr. Nagesh H R. The program started with a welcome speech by Mr. Ashay Shetty, V semester AIML. The Principal addressed the students regarding the technical talk. The resource person Mr. Gavrish Prabhu, AI/ML Engineer at Nutanix, started the session with his insightful words. He was a graduate of Canara High School and Canara PU College. The comprehensive session included introduction to Machine Learning, Chapt GPT, Gernerative AI, Transformers, its potential impact on Society and the opportunities to AI Engineer. A total of 123 students actively participated in this technical talk. Dr. Manoj Gadiyar, HOD, Department of CSBS and Mrs. Kanmani, Assistant Professor, Department of AIML successfully coordinated the event.


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Artificial Intelligence – Build your own generative AI model (25-11-2023)

A hands-on workshop was organized by Artificial Intelligence and Machine Learning Department for the Second Year & third year students of AI&ML and other CS allied branches on 25th November 2023 at their respective classrooms using their laptop and smartphone in Canara Engineering College, Benjanapadavu, Mangalore. This event was organised as online mode in association with Institution Innovation Council IIC (Institution’s Innovation Council) CEC Chapter and NXT Wave, Telangana. The resource person was Mr. Trivikrama, AI Expert, secured All India Rank 93 and graduated from IIT Delhi. He explained first about the theoretical concepts of Generative AI and later explained about the practical implementation of those concepts in building a generative AI model. He even shared few ideas for the participants to try building their own Generative AI model after the workshop and then submit it to them for evaluation. Dr. Basappa B Kodada – Head of the Department (AI&ML), the Co-ordinators of this workshop Mr.Siju V Soman & Mr. Nthin Kurup U.G , Assistant Professors from AI&ML department had also joined in the session through online mode.


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Motivational story by a successful Entrepreneur (My Story - Motivational Session by Successful Entrepreneur) (22-11-2023)

The event was organized by the department of Artificial Intelligence and Machine Learning and the main objective of this program was to provide awareness of the process and hurdles involved in setting up the startup. Mr. Shashi Kumar and Mr. Kishor Bhat, Infienersol Pvt. Ltd., were the resource persons for this event. The resource persons shared their valuable experience in setting up the venture. The resource persons also shared their views on various opportunities available in the automobile industries as well as in the market. They enlighten the students in the direction of generating and identifying ideas for setting up their venture. A total of 126 students have participated in this event


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Branch Entry 2023 (17-11-2023)

The Branch Entry program was organized by the Central Arts and Cultural department of CEC on 17/11/2023 at the Open Air Auditorium (Main Stage). Principal Dr.Nagesh H R inaugurated the event. A total of 31 students from the second year AIML class participated in the event. The students performed Skit, Dance and Song on the theme "Meme Mashup". Mr.Ajay Mahale and Ms.Hiba served as the MC, The event was monitored by faculty coordinator Mrs.Supriya A V.


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Ayudha Pooja (31-10-2023)

Department of Artificial Intelligence & Machine Learning in association with the college cultural committee, celebrated 'Ayudha pooja ' with great fervour on 31/10/2023. Labs were decorated by the students. Colorful flowers, incense, and traditional rituals added a spiritual touch to the occasion. Principal and HoDs of various departments were present during the celebration. The event commenced with Sasaswathi Pooja at 11.15 AM, in Data Structures and Algorithms Lab of the department. Students,Staff and faculty members paid their respects to the goddess of knowledge. The lab computers and textbooks were also worshiped as part of the ceremony to recognize their significance in the pursuit of education and technological advancement. After the puja, prasadam were distributed to the gathering. Event was successfully coordinated by Mrs. Supriya A V, Department Cultural Coordinator.


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Machine Learning for Beginners (25-08-2023)

A two days hands-on workshop was organized by Artificial Intelligence and Machine Learning Department for the Second Year students of AI&ML and other CS allied branches on 25th and 26th August 2023 in Skill Lab, Canara Engineering College, Benjanapadavu, Mangalore. This event was organised in association with Institution Innovation Council IIC (Institution’s Innovation Council) CEC Chapter and Manipal School of Information Sciences(MSIS), Manipal. The resource person was Prof. Sudarsan N.S Acharya, Assistant Professor in Manipal School of Information Sciences (MSIS), Manipal. He connected Computational Applications and its Focus Areas during his discussion. He discussed on the computational applications which includes Time Series Signal Processing, Image Processing, Portfolio Analysis, Risk & Return in Stocks, Clustering, Dimension reduction, Reconstructing and ECG signal with missing values, Transportation network analysis and Epidemic Dynamics. The inaugural function was held on 25th August 2023 at 9:00 AM. Dr. Ganesh V Bhat - Principal of CEC, Dr. Basappa B Kodada – Head of the Department (AI&ML) were present in the function and encouraged the participants to participate actively in the workshop and gain knowledge in the field of Machine Learning. Ms.Chithanya Lakshmi and Ms.Thanvi, second year students from AI&ML department invoked the blessings of almighty. The dignitaries and the participants together inaugurated by lighting the lamp to mark a blessed beginning. Mr. Siju V Sman, the coordinator of the workshop welcomed the dignitaries on the dais and the participants to the two days’ workshop. Ms.Deeksha, second year student from AI&ML department was the Master of the Ceremony. The two days’ workshop was concluded on 26th August 2023 with a valedictory function at 3:30 PM. The principal Dr.Ganesh V Bhat, Head of the Department (AI&ML) Dr. Basappa B Kodada and the resource person Prof. Sudarsan N.S Acharya were present along with the participants in this function. The participants and the resource person shared their feedback on the two days’ workshop and thanked the management and the respective authorities for arranging this knowledge gaining workshop. Mrs.Supriya A.V, Assistant Professor in Artificial Intelligence & Machine Learning department proposed the vote of thanks and the program was concluded with a high tea by 4:00 PM.


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Hands-on workshop in Machine Learning for Beginners (25-08-2023)

A two days hands-on workshop was organized by Artificial Intelligence and Machine Learning Department for the Second Year students of AI&ML and other CS allied branches on 25th and 26th August 2023 in Skill Lab, Canara Engineering College, Benjanapadavu, Mangalore. This event was organised in association with Institution Innovation Council IIC (Institution’s Innovation Council) CEC Chapter and Manipal School of Information Sciences(MSIS), Manipal. The resource person was Prof. Sudarsan N.S Acharya, Assistant Professor in Manipal School of Information Sciences (MSIS), Manipal. He connected Computational Applications and its Focus Areas during his discussion. He discussed on the computational applications which includes Time Series Signal Processing, Image Processing, Portfolio Analysis, Risk & Return in Stocks, Clustering, Dimension reduction, Reconstructing and ECG signal with missing values, Transportation network analysis and Epidemic Dynamics. The inaugural function was held on 25th August 2023 at 9:00 AM. Dr. Ganesh V Bhat - Principal of CEC, Dr. Basappa B Kodada – Head of the Department (AI&ML) were present in the function and encouraged the participants to participate actively in the workshop and gain knowledge in the field of Machine Learning. Ms.Chithanya Lakshmi and Ms.Thanvi, second year students from AI&ML department invoked the blessings of almighty. The dignitaries and the participants together inaugurated by lighting the lamp to mark a blessed beginning. Mr. Siju V Sman, the coordinator of the workshop welcomed the dignitaries on the dais and the participants to the two days’ workshop. Ms.Deeksha, second year student from AI&ML department was the Master of the Ceremony. The two days’ workshop was concluded on 26th August 2023 with a valedictory function at 3:30 PM. The principal Dr.Ganesh V Bhat, Head of the Department (AI&ML) Dr. Basappa B Kodada and the resource person Prof. Sudarsan N.S Acharya were present along with the participants in this function. The participants and the resource person shared their feedback on the two days’ workshop and thanked the management and the respective authorities for arranging this knowledge gaining workshop. Mrs.Supriya A.V, Assistant Professor in Artificial Intelligence & Machine Learning department proposed the vote of thanks and the program was concluded with a high tea by 4:00 PM.


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Field Visit to Field Visit to MUTBI and BioIncubator GoK, Manipal (09-08-2023)

An Industrial Visit was organized by IEEECan and Artificial Intelligence and Machine Learning Department for the Second Year students on 9th August 2023 at Manipal Universal Technology Business Incubator (MUTBI) and Bio-Incubation Centre, Manipal. This event was organised in association with Institution Innovation Council IIC CEC Chapter. Manipal Universal Technology Business Incubator (MUTBI) and Bio-Incubation centre are the initiatives of Manipal Academy of Higher Education, Manipal, and they provide services to students, faculty, alumni as well as people of the region to start their own Venture in line with the social objectives of Government of India. Mrs. Kanmani and Mr. Siju V Soman, Assistant Professors, Department of AI&ML shared the responsibilities for successfully conducting the event. A total of 61 students and 4 faculty members participated in this event. The visit was organized to make student familiar with the various entrepreneurial options in the field of Artificial Intelligence and Machine Learning. Their team demonstrated few products developed at their incubator centre and about the facilities provided for young entrepreneurs. They encouraged the students and faculty members to join the incubation centre as a member and explore various facilities provided by various Manipal Institutions A total of 64 students and 4 faculty benefitted from the event.


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Industrial Visit (09-08-2023)

An Industrial Visit was organized by Artificial Intelligence and Machine Learning Department for the Second Year students on 9th August 2023 at Manipal Universal Technology Business Incubator (MUTBI) and Bio-Incubation Centre, Manipal. This event was organised in association with IEEE Canara Engineering  Student Branch and  Institution Innovation Council IIC (Institution’s Innovation Council) CEC Chapter. Manipal Universal Technology Business Incubator (MUTBI) and Bio-Incubation centre are the initiatives of Manipal Academy of Higher Education, Manipal, and they provide services to students, faculty, alumni as well as people of the region to start their own Venture in line with the social objectives of Government of India. Mrs. Kanmani and Mr. Siju V Soman, Assistant Professors, Department of AI&ML shared the responsibilities for successfully conducting the event. A total of 61 students and 4 faculty members participated in this event. The visit was organized to make student familiar with the various entrepreneurial options in the field of Artificial Intelligence and Machine Learning. Their team demonstrated few products developed at their incubator centre and about the facilities provided for young entrepreneurs. They encouraged the students and faculty members to join the incubation centre as a member and explore various facilities provided by various Manipal Institutions.


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Industry Visit (09-08-2023)

An Industrial Visit was organized by Artificial Intelligence and Machine Learning Department for the Second Year students on 9th August 2023 at Manipal Universal Technology Business Incubator (MUTBI) and Bio-Incubation Centre, Manipal. This event was organised in association with IEEE Canara Engineering Student Branch and Institution Innovation Council IIC CEC Chapter. Manipal Universal Technology Business Incubator (MUTBI) and Bio-Incubation centre are the initiatives of Manipal Academy of Higher Education, Manipal, and they provide services to students, faculty, alumni as well as people of the region to start their own Venture in line with the social objectives of Government of India. Mrs. Kanmani and Mr. Siju V Soman, Assistant Professors, Department of AI&ML shared the responsibilities for successfully conducting the event. A total of 61 students and 4 faculty members participated in this event. The visit was organized to make student familiar with the various entrepreneurial options in the field of Artificial Intelligence and Machine Learning. Their team demonstrated few products developed at their incubator centre and about the facilities provided for young entrepreneurs. They encouraged the students and faculty members to join the incubation centre as a member and explore various facilities provided by various Manipal Institutions.


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Mini Project-Expo (28-06-2023)

The Department of Artificial Intelligence and Machine Learning in association with IIC (Institution Innovation Council), hosted one day Mini Project Exhibition on 28-06-2023. A total of 63 second-year students in the Artificial Intelligence and Machine Learning department have demonstrated their skills by creating and presenting Internet of Things (IoT)-based Mini Projects using the IoT- based skill set they acquired during the department workshop. There were more than 140 visitors, including the Principal, Deans, Heads of various departments, and students of the college have visited and gave valuable feedback & advice for further improvement and enhancement of the mini-projects. Totally 15 projects related to Home Automation, Smart Irrigation, Smart Appliances, Vending machines, etc. were demonstrated by the students.


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Dive into Python, A Hands-On Workshop (16-02-2023)

The Department of AIML in association with Coding Club organized a one day Hands-on Workshop “Dive into Python” on 16-02-2023 in the Skill Lab. Mr. Adithya Pai B and Mr.Ashwin Prabhu G G, both from 4th Year CS&E were the resource persons. Inaugural session was graced by Principal, Dr.Ganesh V Bhat and HoD of the department of AIML, Dr.Basappa B Kodada. Ms.Deeksha Divakar, student of 3rd Semester AIML, welcomed the dignitaries and attendees and gave brief introduction of the key speakers. Workshop dealt with the topics such as introduction to Python, setting up VSCode IDE, various language constructs, regular expressions, numPy, Pandas, Selenium etc. Valedictory session was chaired by Dean Academics, Dr.Demian Antony D’Mello.. Students felt the workshop informative, knowledgeable and shared the same through their feedback. Dean urged students not to stop their learning after the workshop but to continue their practice to gain expertise in the topic. Dr. Basappa B. Kodada, HoD, congratulated the key speakers Mr.Adithya Pai B and Mr.Ashwin Prabhu G G for their hardwork and gave a token of appreciation. Mr.Ashay Shetty, student of 3rd Semester AIML proposed the vote of thanks. The event was coordinated by Supriya A V, Assistant Professor, Department of AIML.


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Role of AI in Business (03-02-2023)

A seminar and interactive session on the 'Role of AI in Business' by Dr. Radhakrishna Rao was held on February 3, 2023. Dr. Krishna delivered an impressive presentation highlighting current AI trends in the industry with a case study on 'Smart Kitchen'. The faculty and technical staff of CEC interacted with the expert for about half an hour.


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3 days of Hands-on Workshop on "Internet of Things for Beginners" (11-01-2023)

The Department of AIML organized 3 days of Hands-on Workshop on “Internet of Things for Beginners” from 11-01-2023 to 13-01-2023 in the Skill Lab. The workshop session was delivered by Mr. Baba Fakruddin Ali B H, Research Scholar, VIT, Vellore. He is also an alumnus of Canara Engineering College. In 2014, he completed his M.Tech programme in computer science and engineering from CEC. Students learned about the ATmega328P Arduino Uno Development Kit, Types of Microcontrollers, and Introduction to Microcontrollers. The day 1 session concluded with hands-on practice connecting LEDs and IR sensors to the Arduino Uno. The students were educated about different sensors and uploading data collected by sensors to the cloud using Arduino Uno and also students are assigned with the mini projects. The student projects were assessed by the faculty members of AIML and the Resource Person. The workshop has seen enthusiastic participation from the 63 AIML students, 10 CSD students, and 8 faculty members from different branches.


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Branch Entry (02-12-2022)

Artificial Intelligence and Machine Learning Branch Entry program was organized by the department cultural committee on 2nd December 2022 in the AC Seminar Hall. Event begun with the Invocation by Mr. Kini Mehul Muralidhar from 3rd Sem.Prof. Nithin Kurup U G, faculty at department of AIML welcomed the second year students. The program was coordinated by Mrs. Supriya A V, Assistant Professor and Chaired by Dr. Basappa B Kodada, HOD, Department of AIML. Department congratulated Mr. Ashay Shetty, elected as Joint-Secretary in the Student Council Election 2022-23 and wished him the best for his journey. Anoop Sadananda Prabhu, Kini Mehul Muralidhar, Akhila Prabhu, Sarthak Pramod Pai were congratulated with a token of appreciation for qualifying for a prototyping sprint in e-Yantra competition under the guidance of Dr. Krishna Prabhu. Department also congratulated with a token of appreciation the first-year toppers Mr.Ashay Shetty, Mr.Kini Mehul Muralidhar, Mr. Sharan, and Mr. Anoop Sadananda Prabhu of the AIML department for their excellent performance in the first-year exams. Dr. Basappa B Kodada, Head of the Department of Artificial Intelligence and Machine Learning addressed the second-year students and spoke about the department’s Vision, Mission, Opportunities in the field of AIML, the importance and benefits of undertaking mini projects on real problems, and planned technical and training events for the academic year. Ms. Kanmani, faculty at the Department of Artificial Intelligence & Machine Learning proposed the vote of thanks.


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A talk on Effective Utilization of Library (30-11-2022)

The Department of Central Library and Information Center conducted “A talk on Effective Utilization of Library” on 30/11/2022 for second year students of Artificial Intelligence and Machine Learning. Mrs. Supriya A V, Assistant Professor, Department of Artificial Intelligence and Machine Learning, spoke about the facilities available at the college central library, benefits of VTU e-resource usage during research, paper publication and project report preparation. The students were shown a demonstration of a remote access solution that is specifically designed for effective access of digital content subscribed by VTU Consortium such as e- journals, e-books, articles from various publishers Springer Nature , Taylor and Francis, Elsevier /Science Direct, IEEE POP, Emerald, McGraw Hill and Turnitin Online Plagiarism Check Tool, Lanquill(Sententia) Netanalytiks Grammar Tool.


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