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You can go through embedded links for implementation videos.

1. Inverse Reinforcement Learning for Off-road Autonomy (research)
   • DARPA-funded RACER Program on building high-speed level 4 autonomous vehicles

1. Pong AI Player
2. Tetris AI Player
3. Multi-robot Formation and Autonomous Navigation (6-month project)
   • PI: Prof. Santosh Devasia
   • See here how robots follow each other and here how they do formation
   • Made robots track each other and platoon in line, configurable triangle using fiducial tagging and sensor fusion techniques
   • Built state-space models for different objectives and used 2 linear operators to obtain accurate and stable formation
   • Executed Hand-gesture Controlled Mobile Robot using OpenCV and Google’s Mediapipe that can eliminate joystick teleop
4. CUDA-based Depth Estimation using StereoVision(Slides)
5. Semantic Segmentation for Self-driving Cars*(Slides)
6. Hand-gesture Controlled Mobile Robot*
   • Implementation
7. Intelligent Water Management System using Machine Learning (Senior Thesis)
8. SAE BAJA Off-road Vehicle (25-member cross-functional team)
   • Worked for three years as Captain, Designer, and Driver

* indicates implementation only i.e., modifying pre-existing techniques according to the use case.