The Department of Artificial Intelligence and Data Science at The Kavery Engineering College was established in 2022 to meet the growing demand for Artificial Intelligence and Data Science professionals. The department focuses on advanced technologies, innovative research, and industry-driven education to prepare students for emerging careers in intelligent systems and analytics.
Highlights
- B.Tech AI & DS programme established in 2022.
- Specialized curriculum in Artificial Intelligence, Machine Learning, and Data Analytics.
- Industry-supported learning through Infosys and ICT Academy.
- Modern laboratories for AI and Data Science applications.
- Access to cloud-based and online certification platforms.
- Focus on Deep Learning, Big Data, and Intelligent Systems.
- IDEA Skill Development Lab for innovation and entrepreneurship.
- Industry tie-ups for internships and live projects.
- Research-oriented teaching and technical training.
- Autonomous curriculum aligned with emerging AI technologies.
Achievements
- Institution accredited with NAAC A+ Grade.
- Autonomous status achieved in 2024.
- Students completed certifications in AI and Data Science domains.
- Active participation in technical events and coding competitions.
- Faculty members engaged in research and FDP activities.
- Industry collaboration through multiple MoUs.
- Successful implementation of skill development programmes.
- Establishment of Centres of Excellence for advanced learning.
- Increased student involvement in innovative projects.
- Strong foundation for research and higher education opportunities.
Benefits
- In-depth knowledge in Artificial Intelligence and Data Science.
- Exposure to Machine Learning, Deep Learning, and Big Data tools.
- Opportunities for research and innovative project development.
- Industry-oriented practical learning experience.
- Internship and certification support in emerging technologies.
- Access to advanced AI laboratories and software tools.
- Enhanced analytical and decision-making skills.
- Career opportunities in AI, Data Analytics, and Software industries.
- Development of problem-solving and research capabilities.
- Preparation for future technologies and global industry demands.
Vision & Mission
Vision
To promote innovative research and consultancy through effective teaching and learning processes to develop emerging technology solutions for the benefit of industry and society.
Mission
- Impart quality value-based technical education and produce technology professionals with innovative thoughts and inspiring leadership skills.
- Develop rational thinking for the design and development of cutting-edge products by engaging with industry stakeholders to fulfill global demands and standards.
- Strengthen core competence in the domain of Artificial Intelligence and Data Science.
- Enable graduates to adapt to evolving technologies through strong fundamentals and lifelong learning.
Programme Educational Objectives (PEOs)
Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, Data Science, and statistics to build systems that require the management and analysis of large volumes of data.
Advance their technical skills to pursue pioneering research in the field of Artificial Intelligence and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
Think logically, pursue lifelong learning, and collaborate with an ethical attitude in multidisciplinary teams.
Design and model AI-based solutions to critical problem domains in the real world.
Exhibit innovative thoughts and creative ideas for effective contribution toward economic development.
Program Specific Outcomes (PSOs)
Evolve AI-based efficient domain-specific processes for effective decision-making in several domains such as business and governance.
Arrive at actionable foresight, insight, and hindsight from data for solving business and engineering problems.
Create, select, and apply the theoretical knowledge of Artificial Intelligence and Data Analytics along with practical industrial tools and techniques to manage and solve complex societal problems.
Develop data analytics and data visualization skills, along with knowledge acquisition, knowledge representation, and knowledge engineering skills, and thereby coordinate complex projects effectively.
Carry out fundamental research to address the critical needs of society through cutting-edge Artificial Intelligence technologies.
Programme Outcomes (POs)
Engineering Knowledge: Apply mathematics, science, and engineering fundamentals to solve complex engineering problems.
Problem Analysis: Identify, formulate, and analyze complex engineering problems using research principles, scientific methods, and sustainability concepts.
Design / Development of Solutions: Design systems, components, and processes that meet specified requirements while considering health, safety, cost, culture, society, and environmental sustainability.
Conduct Investigations of Complex Problems: Apply experiments, modelling, data collection, and analysis techniques to investigate engineering problems and arrive at valid conclusions.
Modern Tool Usage: Create, select, and apply modern engineering and computational tools for modelling, simulation, and problem-solving while recognizing their limitations.
Society & Environment: Assess the societal, legal, environmental, and sustainability impacts of engineering solutions and act responsibly towards society.
Ethics: Apply ethical principles, human values, diversity, and legal responsibilities while practicing the engineering profession.
Individual and Team Work: Function effectively as an individual and as a member or leader in multidisciplinary and diverse teams.
Communication: Communicate effectively through technical reports, presentations, documentation, and discussions with engineering professionals and society.
Project Management and Finance: Apply engineering management and economic principles to plan, execute, and manage projects effectively in multidisciplinary environments.
Life-long Learning: Recognize the need for continuous learning, adapt to emerging technologies, and engage in independent lifelong learning with critical thinking.
Department of Artificial Intelligence and Data Science
| S.No | Name | Designation | Qualification with Specialization |
|---|---|---|---|
| 01 | VIJAYAKUMARI V | HOD & Assistant Professor | M.E (CSE), B.E (CSE) |
| 02 | SHANMUGAPRIYA B | Assistant Professor | M.E (CSE), B.Tech (IT) |
| 03 | MANIMOZHI N | Assistant Professor | M.E (CSE), B.E (CSE) |
| 04 | JAYANTHI R | Assistant Professor | M.E (CSE), B.Tech (IT) |
| 05 | SOUNDARYA C | Assistant Professor | M.E (CSE), B.E (CSE) |
| 06 | PARAMESHWARI N | Assistant Professor | M.Tech (IT), B.Tech (IT) |
| 07 | ARTHI G | Assistant Professor | M.E (CSE), B.Tech (IT) |
| 08 | MANIKANDAN N | Assistant Professor | M.E (CSE), B.E (CSE) |
| 09 | TAMILSELVAN S | Assistant Professor | M.E (CSE), B.Tech (IT) |
| 10 | PRIYANKA R | Assistant Professor | M.E (CSE), B.Tech (IT) |
| 11 | RAMYA S | Assistant Professor | M.E (CSE), B.Tech (IT) |
Computer Centre IV - Employability Skill Development Laboratory
Problem Solving and Python Programming Laboratory
Programming in C Laboratory
Object Oriented Programming Laboratory
Operating Systems Laboratory
Advanced Data Structures and Algorithms Laboratory
Software Engineering Laboratory
| S.No | Lab Name | Block | Floor | Room No | Configuration | No. of Systems | Student Usage | Faculty Usage | Total |
|---|---|---|---|---|---|---|---|---|---|
| 01 | CC IV | A | 1 | A119 | Lenovo (i7 / 16GB RAM) | 60 | 62 | 02 | 64 |
| 02 | CC IV | A | 1 | A119 | ACER (Dual Core / 2GB RAM) | 04 |
Library & Computing Facilities
Library Facility
The Main Library supports the Department of Artificial Intelligence and Data Science with a rich collection of books, journals, and reference materials. It provides valuable academic resources for teaching, learning, project work, research activities, and technical skill development.
Computing Facilities
Computer facilities in the Department of Artificial Intelligence and Data Science include hardware, software, networking, and support systems that help students and faculty members in learning, research, programming, skill development, and academic administration.
Internet & Wi-Fi
Campus Internet
Campus-wide high-speed internet connections are available for academic and research activities.
Wi-Fi Access
Wi-Fi access is available in classrooms through smart panels for digital teaching and learning support.
Software Availability
| S.No | Software | Category |
|---|---|---|
| 01 | Solid Edge | Licensed |
| 02 | Edgecam | Licensed |
| 03 | STAAD Pro | Licensed |
| 04 | Coxco | Licensed |
| 05 | GIS | Open Source |
| 06 | Anaconda | Open Source |
| 07 | Apache Tomcat | Open Source |
| 08 | AutoCAD | Open Source |
| 09 | Eclipse | Open Source |
| 10 | IBM Rational Rose | Open Source |
| 11 | Java | Open Source |
| 12 | JDK for Windows | Open Source |
| 13 | Keil Microvision | Open Source |
| 14 | MATLAB | Open Source |
| 15 | Microsoft Office | Open Source |
| 16 | Microsoft SQLCAL License | Open Source |
| 17 | NetBeans | Open Source |
| 18 | Oracle | Open Source |
| 19 | PCP Layout Design | Open Source |
| 20 | PyScripter | Open Source |
| 21 | Python | Open Source |
| 22 | Turbo C++ | Open Source |
| 23 | Ubuntu | Open Source |
| 24 | Windows 7 | Open Source |
| 25 | Git | Open Source |
| 26 | GitHub | Open Source |
| 27 | Weka | Open Source |
Infrastructure & Support Services
Smart Classrooms
- Smart panels for video lecturing
- Projectors and interactive boards
- Audio-visual teaching systems
- Digital presentation tools
Printing & Scanning
- Printers, scanners, and photocopying facilities
- Document preparation support
Networking Facilities
- LAN connections
- Network security and server management
- Cloud storage or campus portals
Technical Support
- IT help desk
- System maintenance and troubleshooting
- Student technical assistance
Specialized Facilities
AI / ML Labs
Robotics & IoT Labs
Multimedia & Animation Studios
Virtual Reality & Simulation Centers
Best Projects - AI & Data Science
| S.No | Year | Title of the Project | Mentor Name |
|---|---|---|---|
| 01 | 2025-2026 | Real-Time Crowd Counting Using YOLO-Based Object Detection from CCTV Footage | Dr. M. Balamurugan HOD / CSE |
| 02 | 2025-2026 | AI-Based College Admission Chatbot | Mr. M. Umapathy HOD / IT |
| 03 | 2025-2026 | Deep Learning Enabled Automatic Abnormal EEG Identification Using Custom Recurrent Neural Network | Mrs. V. Vijayakumari HOD / AI&DS |
| 04 | 2025-2026 | Retinaliv Pro - Retinal Infection Detection Using OpenCV and PyTorch | Mrs. V. Vijayakumari HOD / AI&DS |
| 05 | 2025-2026 | Heart Attack Risk Prediction Using Retinal Eye Images | Mrs. V. Vijayakumari HOD / AI&DS |
| 06 | 2025-2026 | Deep Learning Based Synthetic Image Detection | Mrs. C. Soundarya AP / AI&DS |
| 07 | 2025-2026 | Dual Based Smart Hiring Assistant Using Artificial Intelligence Agent | Mrs. C. Soundarya AP / AI&DS |
| 08 | 2025-2026 | Multilingual Sentiment and Topic Analysis of Citizen Feedback on Government Mobile Applications with Petition Summarization | Mrs. C. Soundarya AP / AI&DS |
| 09 | 2025-2026 | AI Powered Bus Booking System Using Telegram Chatbot | Mrs. B. Shanmugapriya AP / AI&DS |
| 10 | 2025-2026 | Physics-Informed Spatio-Temporal Forest Fire Hotspot Detection and Spread Prediction Using YOLOv13 and PI-STT | Mrs. B. Shanmugapriya AP / AI&DS |
| 11 | 2025-2026 | AI-Generated Interior Design Identification Using Deep Learning Algorithms | Mrs. B. Shanmugapriya AP / AI&DS |
| 12 | 2025-2026 | Vibecoding: An AI-Integrated E-Learning Platform for Comprehensive Web Development | Mrs. B. Shanmugapriya AP / AI&DS |
| 13 | 2025-2026 | Explainable Deep Learning-Based Early Detection of Alzheimer's Disease (AD) Using MRI Images and CNN Algorithms | Mrs. N. Parameshwari AP / AI&DS |
| 14 | 2025-2026 | AI-Based Health and Fitness Monitoring System with Tutorials for Old Age People | Mrs. N. Parameshwari AP / AI&DS |
| 15 | 2025-2026 | Trust-Aware AI Model for Machine Failure Prediction Using Explainable AI | Mrs. N. Parameshwari AP / AI&DS |
| 16 | 2025-2026 | Deep Learning-Based Dual Model Bird Species Identification Using Audio and Image | Ms. R. Swetha AP / AI&DS |
| 17 | 2025-2026 | AI-Driven Unified Recommendation Architecture for Next-Generation E-Commerce Personalization | Ms. R. Swetha AP / AI&DS |
| 18 | 2025-2026 | AI Based Multiclass Respiratory Disease Classification Using Cough Audio Signals | Ms. R. Swetha AP / AI&DS |
Events - AI & Data Science (2024-2025)
| Date | Title | Resource Person | Participants |
|---|---|---|---|
| 26.04.2025 | Session on Patent to Product |
G. Aravindraj CEO |
45 |
| 25.04.2025 | Session on Significance of IP Protection and Commercialization |
Dr. P. Renukadevi Assistant Professor |
45 |
| 03.04.2025 | IPR Challenges in Cloud Computing |
V. Prabhu Founder and CEO |
48 |
| 17.03.2025 | Research Methodology in Artificial Intelligence |
V. Sasikumar Founder and CEO |
56 |
| 08.10.2024 | Research Methodology for Data Science: Techniques and Tools |
Mr. A. Rajesh Kumar Director |
58 |
| 12.09.2024 | Lean Startup and Minimum Viable Product / Business - Boot Camp |
Mr. Vijay Team Lead, Efficorp Technology |
62 |
Events - AI & Data Science (2025-2026)
| Date | Title | Resource Person | Participants |
|---|---|---|---|
| 09.04.2026 | Digital Marketing for Future Entrepreneurship |
Mr. T. Kodeeswaran Corporate Trainer, Bangalore |
55 |
B.Tech Artificial Intelligence and Data Science
| S.No | Student Name | Department | Employer |
|---|---|---|---|
| 01 | Agalya S | B.Tech – Artificial Intelligence and Data Science | Om Shakthi Plantations |
| 02 | Bavadharani V | B.Tech – Artificial Intelligence and Data Science | AISOSYS |
| 03 | Dineshkumar M | B.Tech – Artificial Intelligence and Data Science | Om Shakthi Plantations |
| 04 | Indhusri K | B.Tech – Artificial Intelligence and Data Science | AISOSYS |
| 05 | Jayakumar J | B.Tech – Artificial Intelligence and Data Science | Om Shakthi Plantations |
| 06 | Jothika P | B.Tech – Artificial Intelligence and Data Science | AISOSYS |
| 07 | M. Joy Shekkinah | B.Tech – Artificial Intelligence and Data Science | ThinkSynq Solution Pvt. Ltd. |
| 08 | Karthick M S | B.Tech – Artificial Intelligence and Data Science | AISOSYS |
| 09 | Krishnan R A | B.Tech – Artificial Intelligence and Data Science | Younder Bots |
| 10 | Lavanya J | B.Tech – Artificial Intelligence and Data Science | AISOSYS |
| 11 | Logith S | B.Tech – Artificial Intelligence and Data Science | ThinkSynq Solution Pvt. Ltd. |
| 12 | Malathi P | B.Tech – Artificial Intelligence and Data Science | ThinkSynq Solution Pvt. Ltd. |
| 13 | M. Nikitha | B.Tech – Artificial Intelligence and Data Science | Younder Bots |
| 14 | Samuvel R | B.Tech – Artificial Intelligence and Data Science | Younder Bots |
| 15 | Sanjaykumar K | B.Tech – Artificial Intelligence and Data Science | Om Shakthi Plantations |
| 16 | Selva Agilan S | B.Tech – Artificial Intelligence and Data Science | CodeXodus Technologies |
| 17 | R. Vennila | B.Tech – Artificial Intelligence and Data Science | ThinkSynq Solution Pvt. Ltd. |
| 18 | Vishnu S | B.Tech – Artificial Intelligence and Data Science | AISOSYS |
PUBLICATION
| Sl. No. | Name of the Teacher | Title of the Book / Chapters Published | Year of Publication | ISBN Number of the Proceeding | Name of the Publisher |
|---|---|---|---|---|---|
| 1. | Dr. M. Balamurugan | AN INTELLIGENT METHOD FOR PREDICTING CARDIAC DISEASE BASED ON PSO-CONVOLUTIONAL NEURAL NETWORK | 2025 | nt. J. Medical Engineering and Informatics, Vol. 17, No. 5, 2025 |
Inderscience Enterprises Ltd. |
| 2. | Dr. M. Balamurugan | RAMYA, R. ET AL: BATTERY MANAGEMENT SYSTEM ...... | 2025 |
Year XVII – N 0 33 430 ISSN 1840-4855 e-ISSN 2233-0046 Original scientific article http://dx.doi.org/10.70102/afts.2025.1833.430 |
Archives for Technical Sciences 2025, 33(2), 430-441 Technical Institute Bijeljina, Archives for Technical Sciences |
| 3. | Dr. M. Balamurugan | EFFICIENT EXTRACTION OF INSIGHTS FROM LARGE SCALE SOCIAL MEDIA DATA THROUGH DISTRIBUTED DEEP LEARNING | 2025 | ISSN : 0012-0413 | RUNDSCHAU |
| 4. | Dr. M. Balamurugan | MULTIMODAL EXPLAINABLE- AI FRAMEWORK FOR STROKE AND TRAUMATIC BRAIN INJURY DETECTION AND PROGNOSIS USING IMAGING AND CLINICAL DATA IN MACHINE LEARNING | 2025 |
TPM Vol. 32, No. S7, 2025 Open Access ISSN: 1972-6325 https://www.tpmap.org |
https://www.tpmap.org |
| 5. | Dr. M. Balamurugan | ENHANCED MED-CHAIN SECURITY FOR PROTECTING DIABETIC HEALTHCARE DATA IN DECENTRALIZED HEALTHCARE ENVIRONMENT BASED ON ADVANCED CRYPTO AUTHENTICATION POLICY | 2025 |
TPM Vol. 32, No. S4, 2025 Open Access ISSN: 1972-6325 https://www.tpmap.org/ |
https://www.tpmap.org |
| 6. | Dr. M. Balamurugan | ENHANCING LUNG CANCER DETECTION: A DEEP LEARNING APPROACH WITH HYBRID-NET ARCHITECTURE ON THE LUNA16 DATASET | 2025 | TPM Vol. 32, No. S4, 2025 Open Access | 2025 |
| 7. |
M. Balamurugan S. Vijayanand M. Umapathy K. Vijayakumari G. Sudha |
Problem Solving And Python Programming | 2021 | 9789393479181 | The Charulatha Publications |
| 8. |
P. Divyabarathi M. Balamurugan S. Vijayanand M. Umapathy G. Sudha |
Problem Solving And Python Programming | 2019 | 9789389051605 | The Charulatha Publications |
| 9. |
M. Balamurugan M. Umapathy K. Vijayakumari G. Sudha T. Thilagavathi K. Gopal |
Problem Solving And Python Programming | 2022 | 9789395211819 | The Charulatha Publications |
| 10. |
M. Balamurugan M. Umapathy |
Data Structures | 2022 | 9789395211437 | The Charulatha Publications |
| 11. |
Dr. M. Balamurugan M. Umapathy |
Algorithms | 2023 | 9789395211956 | The Charulatha Publications |
Patents
Achievements
Industry-Institute Interaction
MEMORANDUM OF UNDERSTANDING (MoU)
TKEC has signed the Memorandum of Understanding (MoU) with industries and organizations in order to guide the students to reach a spirit of learning and sense of commitment and to have mutual intentions to jointly work on projects required for industries and research needs. With learned faculty of good industrial experience and promising students, the institution mutually agrees to exchange expertise for mutual benefit and growth in areas such as Industrial Visits, In-plant Training, Special Technical Training, Guest Lectures, Mini Projects, Main Project Work, Research & Development, Problem Solving, Placements, and Internships.
| S.No | Academic Year | Organization with which MoU is Signed | Date of Signing MoU | Duration |
|---|---|---|---|---|
| 01 | 2021-2022 | Odugaa Tech, Salem | 25/04/2022 | Life Time |
| 02 | 2021-2022 | United IT CAD Division | 16/05/2022 | 5 Years |
| 03 | 2025-2026 | Nminds Academy, Erode | 22/08/2025 | 5 Years |
| 04 | 2025-2026 | VK Academy, Thiruchengode | 17/04/2026 | 5 Years |
| 05 | 2025-2026 | Emglize Technology, Salem | 25/03/2026 | 5 Years |
| 06 | 2023-2024 | Vsphere Technologies, Bangalore | 05/04/2024 | 3 Years |
| 07 | 2023-2024 | ETS Academy, Erode | 08/04/2024 | 3 Years |
| 08 | 2025-2026 | Thinkinfo Expert Solutions, Salem | 13/05/2026 | 5 Years |
| 09 | 2024-2025 | Infosys Limited, Bangalore | 11/07/2024 | 5 Years |
| 10 | 2024-2025 | Dev Technologies, Salem | 20/09/2024 | 5 Years |
| 11 | 2024-2025 | Space Zee, Chennai | 20/09/2024 | 5 Years |
| 12 | 2025-2026 | Orionshift, Trichy | 29/07/2025 | 5 Years |
| 13 | 2025-2026 | Codexodus Technologies | 19/08/2025 | 5 Years |
| 14 | 2025-2026 | Nminds Academy, Erode | 22/08/2025 | 5 Years |