FDP ON AI tools for academic research
Engineering the Future:
Where AI Meets Human Ingenuity
Collaborative excellence at India's premier engineering hub. Witness the synergy of brilliant student minds and advanced humanoid robotics solving tomorrow's problems today.
Bridging the Gap: Quantum Computing & AI
Our advanced research lab focuses on Quantum Machine Learning (QML). We are exploring how quantum algorithms can accelerate training times for complex neural networks by exploiting superposition and entanglement.
- checkQubit-based Neural Networks for optimization problems.
- checkHybrid Classical-Quantum algorithms running on IBM Qiskit simulators.
- checkEntanglement entropy analysis for Deep Learning.
build Industry Standard Tools
school Learning Outcomes
Develop and deploy scalable machine learning models using cloud infrastructure.
Master computer vision techniques for real-time object detection in engineering applications.
Implement Natural Language Processing (NLP) for automated documentation and support systems.
Understand ethical implications and bias mitigation in AI system design.
Collaborate in cross-functional teams to integrate AI into traditional engineering workflows (Civil, Mech, ECE).
Departments of Engineering
Integrated AI applications across 10 core disciplines.
Student Innovation Showcase
Autonomous Campus Rover
Level 4 autonomous delivery robot for inter-departmental logistics.
Arjun Kumar
IV Year, Mechanical
Smart Attendance System
Facial recognition based attendance system with 99.8% accuracy.
Priya Sharma
III Year, CSE
AI Crop Disease Detector
Mobile app using CNNs to identify plant diseases from leaf photos for local farmers.
Rahul Menon
IV Year, Agri-Tech
Sign Language Glove
IoT glove that translates sign language to speech in real-time.
Neha Verma
II Year, ECE
Traffic Flow Optimizer
RL agent controlling city traffic lights to reduce congestion by 30%.
Karthik D.
IV Year, Civil
Training Calendar
View Full ScheduleIntro to Generative AI
Computer Science Block, Lab 3 • 10:00 AM
Robotics Hackathon
Main Auditorium • 09:00 AM (48 Hrs)
Deep Learning Bootcamp
Virtual / Online • 05:00 PM







