Artificial Intelligence & Machine Learning

About Department:
AI & ML Engineering is a specialized branch of computer science and engineering focused on building intelligent systems that can learn, adapt, and make decisions. It combines mathematics, statistics, programming, and domain knowledge to create models that mimic human intelligence.
AI & ML are transforming the world—from healthcare diagnostics to smart cities, financial forecasting, and personalized education. Engineers in this field are shaping the future of technology and society.
The department is equipped with the latest versions of computers and software. There are five laboratories in the department & all are equipped with 30 PCs. All labs of department are connected with network. The internet facility (Broadband with 65 Mbps) is made available for students and staff.

Vision & Mission

To become a centre of excellence in computer education, empowering rural students with cutting-edge technological skills, ethical values and innovative thinking to meet global challenges and contribute to the digital transformation of rural area.

  • Effective implementation of Teaching Learning process in Classroom and Laboratories
  • To apply and impart Technical Knowledge and Trends in Computer Technology for students.
  • To create applications through comprehensive Educational Programs in collaboration with Industry.
  • Vibrant Campus Life with clubs, technical fests, and cultural events that help students thrive beyond academics.

Department PO:
These outcomes align with national engineering education standards and aim to shape well-rounded, industry-ready graduates:

  1. Engineering Knowledge Apply mathematics, science, and engineering fundamentals to solve complex AI & ML problems.
  2. Problem Analysis Identify and analyze real-world challenges using research literature and scientific principles. 
  3. Design/Development of Solutions Design intelligent systems and software that meet societal and environmental needs.
  4.  Modern Tool Usage Employ cutting-edge tools and technologies for modeling, simulation, and deployment of AI solutions.
  5.  The Engineer and Society Assess societal, health, safety, legal, and cultural issues relevant to AI applications.
  6.  Environment and Sustainability understand the environmental impact of AI systems and promote sustainable development.
  7.  Ethics commit to professional ethics and responsibilities in AI & ML practices.
  8.  Individual and Team Work effectively in diverse teams and multidisciplinary environments.
  9.  Communication Communicate technical ideas clearly through reports, presentations, and documentation.

Department PSO:

  • Applied Intelligence Graduates will be able to apply core concepts of Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to solve real-world problems across domains like healthcare, finance, robotics, and smart cities.
  • System Design & Development Demonstrate the ability to design, develop, and deploy intelligent systems using modern tools, frameworks, and programming languages such as Python, Tensor Flow.
  • Research & Innovation Engage in research-oriented thinking to explore emerging technologies, contribute to publications, and innovate solutions that push the boundaries of AI & ML.
  • Interdisciplinary Integration Integrate knowledge from IoT, cloud computing, cyber security, and cognitive science to build robust and scalable intelligent applications.
  • Ethical and Responsible AI Understand and apply ethical principles, ensuring fairness, transparency, and accountability in AI systems.

Department Laboratories:
1. AI & ML Lab
Focuses on building intelligent models using algorithms like decision trees, neural networks, and reinforcement learning.
Equipped with high-performance GPUs for deep learning tasks.
tools: Python, Tensor Flow, PyTorch, Scikit-learn.

2.Programing Lab 1:
It is well equipped Programing laboratory and used for Fundamentals of ICT, Computer Graphics, Software Testing, Oriented Programming, Digital Techniques.
3.Programing Lab-2:
It is well equipped Programming laboratory and used for Web Page designing, Capstone Projects, Data structures, Computer Graphics, Software Testing, Operating System.