NEED TO DO Need help writing an algorithm that uses Yolov5 that uses the input from a raspberry pi camera to build a self driving car model. This needs to run on a raspberry pi 4 device Here's a simple explanation of how the code for this project works: 1. **Taking Pictures**: First, the code takes pictures using the RASPBERRY PI CAMERA attached to the RC vehicle. These pictures show what's around the vehicle. 5. **Recognizing Objects**: After that, the code tries to recognize what objects are in the pictures. It might figure out if there are traffic lights, stop signs, or obstacles in the way. 6. **Making Decisions**: Once the objects are identified, the code helps the vehicle decide what to do next. It might plan a route to avoid obstacles or find the best path to follow. Overall, the code helps the RC vehicle "see" and understand its surroundings, so it can navigate safely and make smart decisions while moving around. Important: Need to use YOLOV5 The raspberry pi camera will be connected directly to the designated port in the raspberry pi

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