Self-driving Car AI
This project showcases a self-driving car AI programmed from scratch using PyTorch and Kivy. It is designed to operate with four distinct performance levels, achieving an impressive 90% precision in navigation and obstacle avoidance. The AI leverages advanced machine learning techniques to interpret sensor data and make real-time driving decisions, making it suitable for both educational purposes and practical applications in autonomous vehicle technology.
Key Features:
- Performance Levels: Four different levels of driving performance to cater to various testing scenarios.
- High Precision: Achieves 90% accuracy in real-world driving conditions.
- Frameworks Used: Built using PyTorch for machine learning and Kivy for the user interface.
Use Cases:
- Educational Tool: Ideal for students and developers interested in AI and robotics.
- Research: Useful for researchers studying autonomous driving technologies.
- Prototyping: Can be used as a base for developing more advanced self-driving systems.
