An Autonomous Institution
NBA / NAAC Accredited/IQAC
An ISO 9001 : 2015 Organisation

Department of Artificial Intelligence & Data Science (AI & DS)

The Department of Artificial Intelligence and Data Science was established in 2022 to provide quality education in the fields of Artificial Intelligence, Machine Learning, and Data Science. It offers a four-year undergraduate programme that emphasizes both theoretical knowledge and practical skills aligned with industry requirements. The department began with an intake of 60 students and has grown to 120, supported by the qualified faculty members. Through a structured curriculum and focus on technical competency, the department prepares students to meet global technological challenges and emerging industry needs

PROGRAM

UNDERGRADUATE DEGREE

DURATION

4 YEARS

LANGUAGE

ENGLISH

Vision

    • To produce professionals in the field of Artificial Intelligence and Data Science who contribute globally to the advancement of industry and society.

Mission

    • To provide a balanced curriculum that engages students in smart learning and develops competent AI and Data Science professionals
    • To enrich students’ learning experience through research, industrial collaboration, and updated knowledge in AI and Data Science
    • To equip students with ethical values and the ability to solve real-world problems effectively

Programme Educational Objectives (PEOs)

    • PEO 1: To enable graduates to pursue higher education and research and have a successful career in industries associated with Engineering.
    • PEO 2:Graduates will be able to handle the challenges of rapidly changing technology in real-life problems.
    • PEO 3:Embrace lifelong learning to meet ever changing developments in Artificial Intelligence and Data science.
    • PEO 4:Graduates will attain entrepreneurial skills that allow them to contribute ethically to the need of society.

PROGRAMME OUTCOMES (PO’s)

    A graduate of the Computer Science and Engineering Program will attain
    • PO1 Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

    • PO2 Problem Analysis: Identify, formulate, review research literature and analyse complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)

    • PO3 Design / Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

    • PO4 Conduct Investigations of Complex Problems:Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)

    • PO5 Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

    • PO6 The Engineer and The World: Analyse and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

    • PO7 Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

    • PO8 Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

    • PO9 Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

    • PO10 Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

    • PO11 Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.

PROGRAMME SPECIFIC OUTCOMES (PSO’s)

    • PSO1: Apply mathematical and statistical models with appropriate AI algorithms to solve computational problems.
    • PSO2: Utilize Data Science and AI techniques to generate insights and support decision-making for real-world challenges.
    • PSO3: Design and develop software applications and solutions that address industry and societal needs.

Contact

    Dr.C.Natarajan

    Head of the Department,

    Dept. of Artificial Intelligence and Data Science,

    PSR Engineering College,

    Sevalpatti,  Sivakasi – 626 140,

    Virudhunagar District,

    Tamil Nadu, India.

    Email : hod_aids@psr.edu.in

    Phone : 9150639650

Faculty Members

DEPARTMENT OF AIDS

FacultyQualificationDesignationE-mailUnique IDProfile
Dr.C.NatarajanM.E., Ph.D.,Associate Professor/HODnatarajan@psr.edu.in1-443517163View
Dr. N. Saravana SelvamM.E., Ph.D.Professorsaravanaselvam@psr.edu.in1-44726505624View
Mrs.S.JeyalakshmiM.E.,Assistant Professorjeyalakshmi@psr.edu.in1-43751056299View
Ms.J.Jeraldin Amala PriyaM.E.,Assistant Professorjeraldinamalapriya@psr.edu.in1-44716351629View
Mrs.R.KirthikaM.E.,Assistant Professorkirthika@psr.edu.in1-44716351561View
Ms.A.IshwariyaM.E.,(Ph.D) Assistant Professorishwariya@psr.edu.in1-7367177782View
Mrs Karthika KM.E.,Assistant ProfessorKarthika.k@psr.edu.in1-132246544760View
Mrs Devi nandhini VM.E.,Assistant Professordevinandhini@psr.edu.in1-45826428332View
Mrs.Rathika RM.E.,Assistant Professorrathika@psr.edu.in1-46975696175View
Mr.Vairavasamy MM.E.,Assistant Professorvairavasamy@psr.edu.inView
Mrs.G.PriyaM.E.,Assistant Professorprirag@psr.edu.in1-45291184322View
Mrs.R.GengadeviM.E.,Assistant Professorgengadeviaids@psr.edu.in1-45333341762View
Mrs.M.JayapriyaM.E.,Assistant Professorjayapriya@psr.edu.in1-43374296536View
Mrs.Bhavani.SM.E.,Assistant Professorbhavani@psr.edu.in1-45291184291View

Infrastructure

The Department of Artificial Intelligence and Data Science has well-equipped laboratory facilities to support practical learning and research. The department houses two dedicated laboratories: The Artificial Intelligence Laboratory and the Data Science Laboratory. These labs are equipped with modern computing systems and relevant software tools to provide hands-on training in AI and data-driven technologies, aligned with current industry standards

DATA SCIENCE LABORATORY:

The primary objective of this laboratory is to provide students with comprehensive practical knowledge in Data Structures, Database Management Systems, Data Science, and Deep Learning. It supports hands-on training and project-based learning to enhance programming, analytical, and problem-solving skills. The laboratory is equipped with 30 desktop systems featuring Intel Core i5 13th Generation processors, 16 GB RAM, 512 GB SSD storage, and 54.61 cm monitors, enabling efficient execution of advanced computational tasks and industry-aligned software applications.

ARTIFICIAL INTELLIGENCE LABORATORY:

The Artificial Intelligence Laboratory is well equipped with modern computing systems and software tools in accordance with curriculum requirements. It is designed to conduct practical sessions in Artificial Intelligence, Data Exploration and Visualization, and Big Data technologies. The laboratory houses 30 desktop systems with Intel Core i9 13th Generation processors, 16 GB RAM, 512 GB SSD storage, and 54.61 cm monitors, providing robust infrastructure for efficient execution of AI models and data analytics applications aligned with industry standards.

Achievements

Despite the circumstances of life, the staffs and students of PSR are continuously making achievements and success stories. They are not just engaging in the curriculum activities to get the graduation but to think differently and critically to collaborate the knowledge with the socio relevant activities. Explore the achievements of PSR people that help them to conquer the challenges and fear!

Faculty Achievements

    • Dr C NATARAJAN published the article “Investigation of The Antidiabetic Potential of a Poly Herbal Formulation in Streptozotocin-Induced Diabetic Rats” in the International journal of Environmental science 02 July 2025.
    • Dr C NATARAJAN published the article “Explainable Deep Neural Network (x-dnn) for predicting Mental Health Outcomes from Multisource Medical and Psychological Data” in the journal of TPM-Testing, Psychometrics Methodology in Applied Psychology on 02 September 2025.
    • Mrs B THEVAHI published the article SI-CL-SDEO algorithm for improving HDFS performance and data reliability in the journal of Results in Engineering 09 June 2025.
    • Dr C NATARAJAN presented the paper “Data Analytics for Clinical Decision Support: Leveraging Deep Learning Models for Enhanced Recognition” at the International Conference on Engineering Technologies and Applied Sciences (ICETAS) on 25 August 2025.
    • Mrs B THEVAHI presented the conference paper “Advancing IoT Data Forecasting with Deep Learning Framework for Resilience Scalability and Real-World Applications” on 27,28 December 2024.
    • Mrs K ANNALAKSHMI presented the conference paper” Advancing IoT Data Forecasting Using Deep Learning: A Comprehensive Framework for Resilience, Scalability, and Real-World Deployment” on 27,28 December 2024.
    • Ms J JERALDIN AMALA PRIYA presented the conference paper “Personalized Engagement Platforms for Next Gen Digital Retail Experiences Using AI Powered Insights to Transform Customer Interactions and Loyalty” on 27,28 December 2024.
    • Dr S PRIYADARSINI, Mrs R VELSELVI and Mrs J JANORIOUS HERMIA were granted the patent “Speech Recognition Device for Virtual Assistants” on 11 December 2024.
    • Mrs S JEYALAKSHMI, Mrs B THEVAHI and Mrs K ANNALAKSHMI, were granted the patent “AI driven Fraud Detection and Prevention System” on 19 December 2024.
    • Mrs K ANNALAKSHMI, Ms J JERALDIN AMALA PRIYA and Mrs R KIRTHIKA were granted the patent “Robotic Process Automation Device” on 11 December 2024.
    • Mrs B THEVAHI, Mrs k ANNALAKSHMI and Ms J JERALDIN AMALA PRIYA were granted the patent “Human Activity Recognition and Monitoring Device” on 11 December 2024.
    • Mrs R KIRTHIKA, Dr S PRIYADHARSINI and Mrs R VELSELVI were granted the patent “Document Processing Instrument” on 19 December 2024.
    • Ms J JERALDIN AMALA PRIYA, Mrs R KIRTHIKA and Dr S PRIYADARSINI were granted the patent “Security Frame Work for IoT Device” on 11 December 2024.
    • Mrs J JANORIOUS HERMIA, Mrs S JEYALAKSHMI and Mrs B THEVAHI were granted the patent “Threat Detection and Mitigation Monitoring Instrument” on 11 December 2024.
    • Dr S PRIYADARSINI, Dr RAMANI, Mr T SARAVANAN, Mrs S JEYALAKSHMI, Mrs R KIRTHIKA were granted the patent “AI voice Based Text or Writing Board” on 15 November 2024.
    • Ms J JERALDIN AMALA PRIYA, Assistant Professor, has completed programs on Advance AI Tools for Preparing Research Papers, Transform with AI, From Classical to Quantum Computing (ATAL), Instructional Design and Delivery Systems (NITTTR), and Deep Learning.
    • Mrs K ANNALAKSHMI, Assistant Professor, has completed programs on Recent Trends in Computing 4.0, Transform with AI, Harnessing Artificial Intelligence for Healthcare Excellence, Innovations, insights and impacts, Cloud Partitioner, Enhancing Cyber Threat detection through Incorporating Digital Technologies(ATAL), Quantum Computing Research Perspective in Healthcare Applications.
    • Mrs B THEVAHI, Assistant Professor, has completed programs on Recent Trends in Computing 4.0, Augmented Reality and Virtual Reality, Instructional Design and Delivery Systems(NITTTR).
    • Mrs R KIRTHIKA, Assistant Professor has completed programs on Instructional Design and Delivery Systems(NITTTR), Transform with AI, Advanced Data Science & NLP: Elevate your Research and H-Index, Advanced Computational Techniques in Machine Learning: A Comprehensive Faculty Development Program Utilizing R Software.
    • Mrs S JEYALAKSHMI, Assistant Professor, successfully completed the NPTEL course “Database Management System” during July to October 2024–2025.
    • Mrs K ANNALAKSHMI, Assistant Professor, successfully completed the NPTEL course “Data Science Using Python” during July to October 2024–2025.
    • Mrs B THEVAHI, Assistant Professor, successfully completed the NPTEL course “Scientific Computing Using Python” during July to October 2024–2025.
    • Mrs K ANNALAKSHMI, Assistant Professor, successfully completed the NPTEL course “Cryptography and Network Security” during January to April 2024–2025.
    • Mrs S KAYATHRI, Assistant Professor, successfully completed the NPTEL course “Data Mining” during January to April 2024–2025.
    • Mrs A ISHWARIYA, Assistant Professor, successfully completed the NPTEL course “Foundation of Cloud Iot Edge ML” during January to April 2024–2025.
    • Ms J JERALDIN AMALA PRIYA, Assistant Professor, successfully completed the NPTEL course “Deep Learning” during January to April 2024–2025.
    • Mrs R KIRTHIKA, Assistant Professor, successfully completed the NPTEL course “Computer Architecture” during January to April 2024-2025.

Students Achievements


2023-2025:

    M SENTHILKUMAR, M VISHNU VARTHAN of II year students participated in a National Level Technical Symposium in Mind Spark, and got First Prize as cash amount (1000) at Kamaraj College of Engineering and Technology.

    A TRIFFANA, A ANTONY AJITHA MARY, S ARJUNA SRI , K ABINAYA  of II year students participated in Shark Tank Event which is about presenting innovative startup ideas at GCT College of Technology, Coimbatore got First Price for BEST ENTERPRENUER.

    M SANTHOSH KUMAR of III-year student went ISRO Telemetry Tracking and Command Network, Bangalore for internship and he has worked on “Shift Status Logger”.

    N DHARSINIYA of III-year Student has completed a internship as a Trainee Tech Support Engineer on RED HAT TECHNOLOGY at Vectra Techno soft Pvt. ltd, Chennai.

    K SELVA MURUGAN, M SANTHOSH KUMAR of III year students went Next-Gen Innovators Hackathon at Tirunelveli and got second prize.

    M THULASI RAMAN of II year AI&DS student participated in AI&ML Quiz competition and got second prize as cash amount (1000) at K.P.R college of Engineering, Coimbatore. 

    S M NAVA SAKTHIVEL, M THULASI LAKSHMANAN, M THULASI RAMAN, P RAMKISHORE, K SIVASUBRAMANIAN, K LOGESH, M KAVIN KUMAR, M SANTHOSH, K RENGA PRASAD, K SRIRAM, V VENGATESH KUMAR of II year students participated in AI&ML Quiz competition and got Third prize at K.P.R college of Engineering, Coimbatore.

    P TEJASVINI and M KEERTHI, of III-year students, secured the First Prize with a cash award of ₹25,000 under their team name “Spot Finders” in a hackathon conducted by Coding Mart Technologies, Coimbatore at P.S.R Engineering College, Sivakasi.

    K SRIRAM and M RAJA DHARSHINI, of III-year students, secured the Runner-Up Prize with a cash award of ₹15,000 under their team name “Code Masters” in a hackathon conducted by Coding Mart Technologies, Coimbatore at P.S.R Engineering College, Sivakasi.

    B SIGAMANI and R RAGAVI of II year achieved First Place in the Quiz event at the National Level Technical Symposium Crisp Krampus in P.S.R Engineering College, Sivakasi.

NPTEL 2025 Results:

    • V RISHI has successfully completed the NPTEL course “Python for Data Science” during 2025.
    • M NIKITHA has successfully completed the NPTEL course “Python for Data Science” during 2025.
    • J PRABHA has successfully completed the NPTEL course “Python for Data Science” (Elite) during 2025.
    • M RAJA DHARSHANA has successfully completed the NPTEL course “Introduction to Machine Learning” during 2025.
    • V VENGATESH KUMAR has successfully completed the NPTEL course “Introduction to Machine Learning” during 2025.
    • M HARIHARAN has successfully completed the NPTEL course “Data Base Management System” during 2025.
    • S LAKSHMI NARAYANI has successfully completed the NPTEL course “Data Base Management System” during 2025.
    • M THULASI LAKSHMANAN has successfully completed the NPTEL course “Data Base Management System” during 2025.
    • R MUTHULAKSHMI has successfully completed the NPTEL course “Data Base Management System” during 2025.
    • R DEVA DHARSHINI has successfully completed the NPTEL course “Data Base Management System” during 2025.
    • G M NANDHINI has successfully completed the NPTEL course “Data Base Management System” during 2025.
    • M SHALINI has successfully completed the NPTEL course “Data Base Management System” during 2025.
    • E SHEELA PRIYADHARSHINI has successfully completed the NPTEL course “Deep Learning – IIT Ropar” during 2025.
    • S DIVYA DHARSHINI has successfully completed the NPTEL course “Cloud Computing” (Elite) during 2025.
    • V KANNA has successfully completed the NPTEL course “Cloud Computing” (Elite) during 2025.
    • V RAMYA has successfully completed the NPTEL course “Cloud Computing” (Elite) during 2025.

NPTEL 2024 Results:

    • E SHEELA PRIYADHARSHINI has successfully completed the NPTEL course “Introduction to Machine Learning” (ELITE) during 2024.
    • K SELVA MURUGAN has successfully completed the NPTEL course “Introduction to Machine Learning” during 2024.
    • M SANTHOSH KUMAR has successfully completed the NPTEL course “Introduction to Machine Learning” during 2024.
    • K SANKARAJOTHI has successfully completed the NPTEL course “Introduction to Machine Learning” during 2024.
    • V RAMYA has successfully completed the NPTEL course “Introduction to Machine Learning” during 2024.
    • P POONKODI has successfully completed the NPTEL course “Introduction to Machine Learning” during 2024.
    • B MANJU ALIAS PRAGADEESWARI has successfully completed the NPTEL course “Introduction to Machine Learning” during 2024.
    • S DIVYA DHARSHINI has successfully completed the NPTEL course “Introduction to Machine Learning” during 2024.
    • N DHARSINIYA has successfully completed the NPTEL course “Introduction to Machine Learning” (ELITE) during 2024.
    • P BARATH SELVAN has successfully completed the NPTEL course “Introduction to Machine Learning” during 2024.
    • M KAVUTHAM has successfully completed the NPTEL course “Programming in Java” during 2024.
    • S M NAVASAKTHIVEL has successfully completed the NPTEL course “Programming in Java” during 2024.
    • M THULASI LAKSHMANAN has successfully completed the NPTEL course “Programming in Java” during 2024.
    • A MOHAMED ISMAIL has successfully completed the NPTEL course “Programming in Java” during 2024.
    • K SARAVANAN has successfully completed the NPTEL course “Data Structure and Algorithms using Java” (ELITE) during 2024.
    • A KANNAN has successfully completed the NPTEL course “Data Structure and Algorithms using Java” during 2024.
    • D RAJA has successfully completed the NPTEL course “Data Structure and Algorithms using Java” during 2024.
    • R MUTHULAKSHMI has successfully completed the NPTEL course “Computer Architecture” during 2024.
    • M RAJA DHARSHANA has successfully completed the NPTEL course “Computer Architecture” during 2024.
    • G M NANDHINI has successfully completed the NPTEL course “Computer Architecture” during 2024.
    • B SIGAMANI has successfully completed the NPTEL course “Computer Architecture” during 2024.

Placement

PSR has a long story of recruiting their graduates and postgraduates to a variety of companies both nationwide and MNCs. Over the past few decades, students get acquired over 1000+ companies all around the globe. They are at the forefront in all hiring programs hosted in the college as well as in the drafting campaigns.

Student Placed In The Year 2024-2025

S.NO

NAME OF THE STUDENT

NAME OF THE ORGANIZATION

1. Ameer Akbar R LAVENDEL COUNSULTING
2. Arikaran S AGNES CREATIVES
3. Babujee M KGIS,COIMBATHORE
4. Barath Selvan P AWARIOUS
5. Bowya Suraksha Devi M KGIS,COIMBATHORE
6. Deebadharshini M KGIS,COIMBATHORE
7. Dharsiniya N SAI TECHNOLOGIES
8. Dhinakar M VINSINFO TECHNOLOGIES
9. Divya Dharshini S KGIS,COIMBATHORE
10. Durgadevi M KGIS,COIMBATHORE
11. Esakki Mariappan T LAVENDEL COUNSULTING
12. Gopi M FLEXITASKCRAFT PRIVATE LIMITED
13. Hari Pritha A SAI TECHNOLOGIES
14. Hariprashaad R ETHNUS , BANGALORE
15. Kanna V VINTORIX PVT.LTD,CHENNAI
16. Koushika V KGIS,COIMBATHORE
17. Logha Karthika G KGIS,COIMBATHORE
18. Manju Alias Pragadeeswari B KGIS,COIMBATHORE
19. Mark Harrison S VINSINFO TECHNOLOGIES
20. Mathiyalagan M KGIS,COIMBATHORE
21. Muralikrishna S NISSAN COMPANY
22. Muthu Madasamy P SAI TECHNOLOGIES
23. Muthuraj M KGIS,COIMBATHORE
24. Narendar V KGIS,COIMBATHORE
25. Nivash K KGIS,COIMBATHORE
26. Nivin J K CODINGMART
27. Poovarasan M VINTORIX PVT.LTD,CHENNAI
28. Prasathkumar G BIZTEN
29. Ragul R AGNES CREATIVES
30. Ramya V KGIS,COIMBATHORE
31. Sanjaykumar M S VINTORIX PVT.LTD,CHENNAI
32. Sathis Kannan R KGIS,COIMBATHORE
33. Selva Murugan K ETHNUS , BANGALORE
34. Sheela Priyadharshini E INFOSYS
35. Shenbagaraj M AWARIOUS
36. Sundarraj G LAVENDEL COUNSULTING
37. Sweety J KGIS,COIMBATHORE
38. Vignesh A A&T VIDEO NETWORKS
39. Nithish Kumar C TAILAI LABS PRIVATE LIMITED
40. Siva Sakthi S KGIS,COIMBATHORE

Events

The college organizes events with many purposes in intention. Some of the significant events were on support on employment workshops, entertainment, academic studios, international and socio-cultural activities, etc. The objective is to create a multicultural and international understanding among the students and staff.

2024-2025 Academic Year Events

Department of Artificial Intelligence and Data Science organized Workshop on Cloud Computing and Getting Started with Microsoft Azure. On 03.01.26. A total of 78 participants from the AI&DS department actively took part in the Workshop. The Second year students, Faculties and Non-teaching staff worked for this event to make this event a grand success.

Department of Artificial Intelligence and Data Science organized Seminar on AI Agents Platforms and Tools (AAPT) on 24.12.25. workshop was conducted for Final-year students A total of 66 participants from the AI&DS department actively took part in the Seminar.

Department of Artificial Intelligence and Data Science organized Workshop on The Exploration Matrix unlocking Data Secrets on 27.09.25 to 30.09.25. A total of 61 participants from the AI&DS department actively took part in the Seminar Dr.C.Natarajan, Head of the Department, AI&DS, who highlighted the importance and objectives of the workshop

Department of Artificial Intelligence and Data Science of P.S.R. Engineering College,Sivakasi organized Workshop on Augmented Reality on 22.09.2025.A total Of 62 participants from the AI&DS department actively took part in the Seminar.The Coordinator Ms.J.Jeraldin Amala Priya AP/AI&DS, Second and Final year students,Faculties and Non-teaching staff worked for this event to make this event a grand success.

Department of Artificial Intelligence and Data Science organized Seminar on Data to Prediction: Pipeline for ML projects on 29.08.25. The Seminar conducted by our Resource Person Dr. S.Thayammal , director of Deep Dive Technologies.

Department of Artificial Intelligence and Data Science organized Workshop on Canva and Power BI on 23.08.25 & 30.08.25. A total of 60 participants from the AI&DS department actively took part in the Seminar.The Coordinator Ms.J.Jeraldin Amala Priya AP/AI&DS, Second year students, Faculties worked for this event to make this event a grand success.

Department of Artificial Intelligence and Data Science (AI&DS), in collaboration with AURA, successfully conducted a five-day Faculty Development Program titled “Value Added Teacher” from August 5th to August 9th, 2025. A total of 14 participants were participated, The FDP featured sessions conducted by our Resource Person

Department of Artificial Intelligence and Data Science organized Seminar on Founder’s Voice on 25.07.25. A total of 76 participants from the AI&DS department actively took part in the Seminar, The Coordinator Ms. P.Esther, AP/AI&DS, Third year students, Faculties and Non-teaching staff worked for this event to make this event a grand success.

Department of Artificial Intelligence and Data Science organized DVR Dataverse Reloaded an orientation program on 14.07.25. A total of 60 participants actively took part in the workshop, Dr. C. Natarajan, Head of the Department who highlighted the importance and objectives of the orientation program

Department of Artificial Intelligence and Data Science organized a workshop on 30.06.25 to 04.07.25. A total of 57 participants from the AI&DS department attended the workshop, The workshop was conducted for third-year students while the technical sessions were handled by M. Santhosh Kumar, S. Pandiselvam, and M. Babujee from Skygen Mecha’s.

Syllabus

Academic study is a collaborative educational process where the students and staff are communicating to ensure speculative and career goals. Both the parties are making their part to a greater extent to reach success.

ACADEMIC REGULATIONS & SYLLABUS

REGULATIONS
REGULATIONS 2023

Newsletter

Newsletter

Magazines

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