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B.Tech Artificial Intelligence and Data Science (AI&DS)

About the Department

The Department of Artificial Intelligence and Data Science (AI&DS) at Annapoorana Engineering College(Autonomous) is committed to nurturing future-ready professionals equipped with strong foundations in computing, analytics, and intelligent technologies. The department focuses on imparting knowledge in Artificial Intelligence, Machine Learning, Data Science, Deep Learning, and emerging areas that address real-world challenges across industries. With a blend of experienced faculty, modern laboratories, and industry-aligned curriculum, the department ensures students gain both theoretical understanding and practical exposure through hands-on learning, projects, internships, and technical events.
AI&DS encourages innovation, research, and interdisciplinary learning through clubs, seminars, workshops, and collaborative activities. Students are trained in problem-solving, critical thinking, and communication skills to meet industry expectations and pursue higher studies or entrepreneurial ventures. The department also emphasizes ethical AI practices, societal impact, and continuous skill enhancement through value-added courses and certifications.
Through active engagement with industry experts and academic initiatives, the AI&DS department strives to create competent engineers capable of contributing meaningfully to the rapidly evolving digital world.

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Ph.D (Awarded)
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Vision

Elevate Global education standards, foster collaborative research, and produce skilled professionals in Artificial Intelligence and Data Science, committed to community service.

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Mission

  • Quality Education: Provide top-notch learning experiences in Artificial Intelligence and Data Science, ensuring students are well prepared with cutting-edge knowledge.
  • Research Collaboration: Encourage teamwork in research, fostering advancements in AI and Data Science on a global scale.
  • Social Impact: Instill a commitment to ethical use of technology, preparing graduates to contribute positively to society through responsible innovation in AI and Data Science.
HOD Photo
Dr. M.Poonguzhali
M.E., Ph.D.
Professor

Welcome Message

Welcome to the Department of Artificial Intelligence and Data Science at Annapoorana Engineering College

Our department is dedicated to preparing students for the rapidly evolving world of intelligent technologies and data-driven decision making. We strive to build a strong foundation in Artificial Intelligence, Machine Learning, Data Science, and Deep Learning through an industry-aligned curriculum and hands-on learning practices.
We believe education goes beyond classrooms. Through seminars, workshops, technical events, projects, and industry interaction, students are encouraged to develop innovation, problem-solving ability, ethical responsibility, and professional skills. Our experienced faculty and well-equipped laboratories provide an environment that promotes research, creativity, and continuous learning.
The department focuses on shaping competent engineers who are confident to face industry challenges, pursue higher studies, or become entrepreneurs. We emphasize both technical excellence and communication skills to ensure holistic development.
I invite you to be part of our AI&DS journey and explore the vast opportunities in the world of intelligent systems and data science.

Program Outcomes (POs)

Engineering Graduates will be able to:

PO1

Engineering Knowledge

Apply the knowledge of mathematics, natural science, computing, and engineering fundamentals and an engineering specialisation to the solution of complex engineering problems.

PO2

Problem Analysis

Identify, formulate, and analyse complex engineering problems, reaching substantiated conclusions with consideration for the holistic nature of the problem.

PO3

Design/Development of Solutions

Design creative solutions for complex engineering problems and design systems, components, or processes to meet identified needs — with consideration for public health and safety, and cultural, societal, and environmental factors. Sustainability is now intrinsic to design.

PO4

Conduct Investigations of Complex Problems

Conduct investigations of complex engineering problems using research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.

PO5

Engineering Tool Usage

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling — recognising their limitations — to solve complex engineering problems.

PO6

The Engineer and the World

Analyse and evaluate societal and environmental aspects while solving complex engineering problems, considering their impact on sustainability with reference to economy, health, safety, legal frameworks, culture, and the environment.

PO7

Ethics

Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; and adhere to relevant national and international laws.

PO8

Individual and Collaborative Team Work

Function effectively as an individual, and as a member or leader in diverse and multi-disciplinary teams.

PO9

Communication

Communicate effectively and inclusively within the engineering community and with society at large — comprehending and writing effective reports and design documentation, and making 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, to manage projects in multi-disciplinary environments.

PO11

Life-Long Learning

Recognise the need for, and have the preparation and ability for, independent and life-long learning, adaptability to new and emerging technologies, and critical thinking in the broadest context of technological change.

Program Educational Objectives (PEOs)

Graduates of Artificial Intelligence and Data Science (AI&DS) will

  • PEO 01: Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
  • PEO 02: Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
  • PEO 03: Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
  • PEO 04: Design and model AI based solutions to critical problem domains in the real world.
  • PEO 05: Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

Program Specific Outcomes (PSOs)

Students of Artificial Intelligence and Data Science (AI&DS) shall have

  • PSO 01: Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
  • PSO 02: Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.
  • PSO 03: Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

Laboratories

State-of-the-art laboratories equipped with modern instruments for hands-on learning.

DATAX Laboratory

The DATAX Laboratory is a state-of-the-art learning environment designed to enhance students’ technical knowledge, practical skills, and innovative thinking in emerging technologies. The laboratory provides hands-on experience in Artificial Intelligence, Deep Learning, Java Programming, Multimedia Technologies, Cloud Computing, Generative AI, and Python Programming.

The laboratory bridges the gap between theoretical concepts and practical implementation by enabling students to develop applications, perform experiments, solve real-world problems, and explore modern technological advancements. It encourages computational thinking, programming proficiency, data-driven problem-solving, creativity, and collaborative learning.

Equipped to support practical sessions, academic projects, and technology-oriented activities, the DATAx Laboratory helps students gain industry-relevant skills and prepares them to meet the evolving demands of the IT industry. The laboratory fosters innovation, experimentation, and lifelong learning, empowering students to transform their ideas into effective technological solutions.

DRIVE X LAB

The DRIVE X Lab is a technology-oriented learning and practical training facility designed to provide students with hands-on experience in data management, big data analytics, programming, artificial intelligence, and automobile engineering. The laboratory integrates theoretical concepts with real-world applications, helping students develop technical skills, analytical thinking, and problem-solving abilities.

The lab provides practical exposure to Big Data Computing using Hadoop, Data Warehousing and Data Mining, Database Design and Management (DBDM), Java Programming, Python Programming, Artificial Intelligence and Machine Learning (AI & ML), and Automobile Engineering. Through practical sessions, mini-projects, case studies, and application-oriented exercises, students learn to manage large datasets, design databases, develop software solutions, and explore intelligent computing applications. The automobile engineering component supports learning about automotive technologies, vehicle systems, automation, and emerging smart mobility solutions.

The DRIVE X Lab encourages innovation, teamwork, and project-based learning while bridging the gap between academic knowledge and industry requirements. It prepares students for career opportunities in data analytics, software development, big data engineering, intelligent systems, and automobile technology.

EMBEDX LAB

EmbedX Lab is a well-equipped learning environment designed to provide students with practical knowledge and technical skills in Embedded Systems, Artificial Intelligence (AI), Internet of Things (IoT), Embedded System Design, Advanced Communication, and Communication Network and Security. The lab focuses on integrating hardware, software, and intelligent technologies to develop efficient, smart, and reliable solutions.

Students gain hands-on experience in microcontroller programming, sensor interfacing, embedded system development, AI-based applications, IoT-enabled smart devices, modern communication technologies, and network security. Through practical experiments and mini-projects, students learn to design, develop, test, and implement real-time applications in smart automation, intelligent systems, wireless communication, connected devices, and secure networking.

EmbedX Lab promotes innovation, teamwork, creativity, and problem-solving skills by bridging the gap between theoretical concepts and practical implementation. It prepares students to meet the evolving technological demands of Embedded Systems, AI, IoT, Communication Engineering, and Network Security.

Faculty

S.No AU - FIN AICTE ID Name & Designation Photo
1 2689301976 1-44718778586
Dr. R. Punidha
Professor
Dr. R. Punidha
2 2698411974 1-9320205052
Mrs. G. Maria Lavanya Sangeetha
Associate Professor
Mrs. G. Maria Lavanya Sangeetha
3 2641581984 1-44783446765
Mr. C. Sukumar
Associate Professor
Mr. C. Sukumar
4 2631011989 1-9495869995
Mr. K. Venkatesh
Assistant Professor
Mr. K. Venkatesh
5 2654581990 1-3303687617
Mr. R. Sadaiyappan
Assistant Professor
Mr. R. Sadaiyappan
6 2666701990 1-4576451105
Mrs. S. Priyananci
Assistant Professor
Mrs. S. Priyananci
7 2644231997 1-44892850179
Mrs. P. Divyapriya
Assistant Professor
Mrs. P. Divyapriya
8 2618551989 1-44893373311
Mrs. M. Ammuindrapriya
Assistant Professor
Mrs. M. Ammuindrapriya
9 2648701993 1-43962224761
Mrs. J. Indumathi
Assistant Professor
Mrs. J. Indumathi
10 2661071991 1-47949083562
Mrs. J. Muthamizh
Assistant Professor
Mrs. J. Muthamizh

Value Added Programs

Enhancing student skills beyond the curriculum through industry-relevant programs.

Students Achievements

S.No Workshops / Conferences / Seminars / Symposium Year Title / Topic Resource Person Name & Organization (if available)
1 Seminar 2025-2026 Innovation Through Intelligence: AI in Real-World Engineering Mr.V.Sasikumar, CEO, DEV Technology Solutions, Salem.
2 Association Inauguration 2025-2026 AINEX - AI & Data Science Next Gen Explorers Mr.S.A.Manikandan M.E., EMBA, Founder, Supporticon Strategies Pvt.Ltd., Lead Product Support Engineer, Sprinklr, Inc. Bangalore.
3 Seminar 2025-2026 Empowering Aspirants: Insights into Government Careers and IT Sector Jobs Ms.Ramya Loganathan, Technical / Aptitude / Reasoning / Soft Skills Trainer, Founder & CEO- Genzenius LLP, Trichy.
4 Seminar 2025-2026 The Power of Ideas: Engineering Meets Artificial Intelligence Mr.V.Sasikumar, CEO, DEV Technology Solutions, Salem.
5 Seminar 2025-2026 Entrepreneurship and Startups in the AI Era Mr.A.Pravin Kumar, Director, Algojaxon Global Soft Pvt.Ltd.
6 Webinar 2025-2026 Intellectual Property Rights: An Upheaval of Ideas to Reality Dr.Kartiyabanu, Founder & CEO, Inspire Softech Solutions, Chennai.
7 Seminar 2025-2026 Generative AI for Virtual Environments Mr.V.Sasikumar, Managing Director, Mikrosun Technologies, Salem.
8 Guest Lectures 2025-2026 Big Data Analytics and its Applications Dr.A.Gomathi, ASP/AI&DS, Knowledge Institute of Technology
9 Guest Lectures 2025-2026 Enhanced Database in Modern Environment Mr.Rajendra Prabu M.E, Multilevel Architect, Algojaxon Global Soft Private Limited.
10 Hackathon 2025-2026 Turn Your Ideas into Reality Mr.S.A.Manikandan M.E., EMBA, Founder, Supporticon Strategies Pvt.Ltd., Lead Product Support Engineer, Sprinklr, Inc. Bangalore.
11 Guest Lectures 2025-2026 JavaFx and its Applications Mr.M.Karthick, Multilevel Architect, Algojaxon Global Soft Private Limited.
12 Guest Lectures 2025-2026 Exploratory Data Analysis Mr.Praveen Kandhan, AP/CSE, Knowledge Institute of Technology
13 Guest Lectures 2025-2026 Cyber Security Careers and Future Opportunities Mr.P.Ganeshen, AP/CSE, Knowledge Institute of Technology
14 Seminar 2025-2026 Building Intelligent Systems: The Role of AI-ML in Modern Computing Dr.T.Sheela, Professor/ECE, Vinayaka Missions Kirupananda Variyar Engineering College.
15 Guest Lectures 2025-2026 A Study of P, NP, NP-Complete, and NP-Hard Problems Dr.R.Vasanthi, ASP/CSE, Sona College of Technology
16 Seminar 2025-2026 Data Warehousing and its Application Mrs.G.Gomathi, AP/IT, Vivekananda College of Engineering For Women Tiruchengode.
17 Seminar 2025-2026 Innovative Ideas to Crack Competitive Exam Mr.P.Sriprasathkumar, SSC & Railways Mentor, Veranda Race, Salem.
18 Workshop 2025-2026 Hands-on Python with AI Workshop: From Fundamentals to Intelligent Models Mr.M.Karthick M.E, Principal Solution Architect & Engineering Leader of Algojaxon Global Soft Private Limited, Salem.
19 Seminar 2025-2026 Pioneering Innovation Entrepreneurship Mr.R.Santhosh Kumar B.E., Senior Trainer of Awake Training Institution, Salem.

Board of Studies (BoS)

Minutes of Board of Studies Meetings, Department of Artificial Intelligence and Data Science

S.No Meeting Details Date of Meeting View / Download
1 5th Board of Studies Meeting (BoS) 03.07.2026 BoS - 05
2 4th Board of Studies Meeting (BoS) 29.11.2025 BoS - 04
3 3rd Board of Studies Meeting (BoS) 17.05.2025 BoS - 03

Contact Us

Get in touch with the Department of Artificial Intelligence and Data Science

Head of the Department

Department of Artificial Intelligence and Data Science

Annapoorana Engineering College

Sankari Main Road (NH-47), Periaseeragapadi, Salem - 636 308, Tamil Nadu.