Divy Shah

I’m Divy, a robotics and automation student in my 5th semester. I’m really into AI and robotics and enjoy working on projects involving coding, automation, and problem-solving. I’ve been part of Robofest 4.0, where my team won a consolation prize of ₹2,50,000 in the rover category.

I’ve worked on several interesting projects, including a cave and terrain exploration rover for autonomous navigation, SAR image colorization using deep learning, an optimal ship routing algorithm using AI-based pathfinding, and a multi-AV parallel processing pipeline for intelligence applications. I also have experience with holonomic drive robots, where I worked on motion control using sensors.

In AI, I’ve worked with multiple algorithms like CNN, YOLOv8, TensorFlow Lite, and Tiny YOLO, training and implementing them on robots for object detection, recognition, and obstacle avoidance using custom datasets. I enjoy experimenting with different models and optimizing them for real-world applications.