Ganesh Bhimada

My project, Deep Learning-Based Traffic Sign Detection for Autonomous Vehicles in Adverse Weather Conditions, involved developing and training CNN, SCNN, and Hybrid MobileNet-ResNet models. They achieved up to 96.32% accuracy on the GTSRB dataset under challenging weather conditions.

I applied data preprocessing and augmentation to improve model robustness against occlusion, lighting, and noise. I also evaluated the models using precision, recall, and F1-score, and optimized them for edge-device deployment.

During my Full Stack Web Development internship at Black Bucks, I learned React and Node.js and gained experience building web applications. I also contributed to a Loan Borrower Default Prediction system at HENOTIC TECHNOLOGY PVT LID using AI, machine learning, and data science.