Image Processing Intern
Implemented a U-Net-based model for semantic segmentation in self-driving cars, using Python and TensorFlow to classify road objects and enhance autonomous navigation. Processed real-time video data to segment and detect key features such as lanes, vehicles, and pedestrians, improving object recognition and path planning in self-driving systems.