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 started in the year 2021 to offer under graduate degree programme i.e., Bachelor of Engineering (BE) in Artificial Intelligence and Machine Learning (AI&ML). AI&ML is a new and upcoming program in the area of computer science that is rapidly expanding its boundaries to variety of fields like healthcare, security, entertainment, education, autonomous transportation, intelligent robots, space exploration, speech processing, stock trading and many more. We have seen a lot of change in our lives because to artificial intelligence and its applications. AI aims to artificially imitate human intelligence in order to instil intelligence into robots. An application of AI called machine learning (ML) aims to give machines the ability to learn on their own. Numerous career opportunities have been produced as a result of AI and ML, which are significant drivers of the digital transformation. There is a huge demand for skilled engineers trained in these technologies.

A degree from this programme is valuable and helps students get employment in their fields. This course assists in developing fundamental knowledge and skills in the areas of mathematics, network architectures, computer vision, programming, communication networks, and machine learning courses which enrich the student skills and knowledge for developing smart and intelligent application which delivers the needs of society and nation. The department organizes training programmes for the staffs and students which helps themselves in technological advancements and present research findings. To increase the opportunity of placements to students and overall personality development, the department conducts and motivates them in soft skills training programmes, technical skill development activities, and initiatives on self-learning like certification courses through recognized online platforms (SWAYAM-NPTEL, Courseara, Udemy, edx etc..) and extracurricular activities under the umbrella of various associations.

Career Prospects and Market Opportunities

The global Artificial Intelligent market size to grow from USD 58.3 billion in 2021 to USD 309.6 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 39.7% during the forecast period. All areas of the hardware and software service sectors have been affected by Artificial Intelligent. Few industries are unaffected by artificial intelligence, which results in thousands of job openings for qualified engineers in the domain of Artificial Intelligent and Machine Learning.

A degree in computer science and engineering (AI and ML) may open up job opportunities in a variety of industries, including manufacturing, logistics, aviation, healthcare, and finance. Additionally, it would open up more and better employment options for those who are highly motivated, have a solid understanding of fundamental concepts like data structures, and have good problem-solving and algorithmic thinking abilities. Programmers must have strong hands-on skills in data mining, deep learning, neural networks, predictive modelling, machine learning, and data science toolkits like R, Python, and NumPy. The following roles could be filled by graduates with the necessary abilities and expertise in the fields of artificial intelligence and machine learning.

  • 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

CS Organisation Structure

DAC: Departmental Advisory Committee

Composition
Head of the Department Chairman
Expert from Academia Member
Expert from Industry Member
Faculty Member Member
Senior Faculty Member Member Secretary

DQAC: Departmental Quality Assurance Committe

Composition
Head of the Department Chairman
Faculty Member Member
Senior Faculty Member Member Secretary

Departmental Budget/Purchase Committee

Composition
Head of the Department Chairman
Faculty Member Member
Budget / Purchase Coordinator Member Secretary

Departmental Project/ Internship Assessment Committee (DPAC)

Composition
Head of the Department Chairman
Research Coordinator Member
Project/Internship Coordinatorr Member Secretary
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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 (CSE) 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

Associate Professor & HOD

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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. 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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Jaya Prakash

Lab Instructor

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Mrs. Sowmya D

Lab Instructor

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Mrs. Geetha

Lab Instructor

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Mr. Praveena T Damale

Foreman

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

AWARDS IN TECHNICAL 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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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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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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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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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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