Lane Detection for Self Driving Car Project
The Self-Driving Car Project revolutionizes transportation by incorporating neural networks for autonomous vehicle control. This application utilizes advanced machine learning algorithms to process sensor data, recognize road conditions, and make real-time driving decisions. The neural networks’ ability to adapt to dynamic environments and diverse scenarios ensures safe and efficient autonomous driving. This project represents a significant stride towards the future of transportation, where vehicles can navigate without human intervention, enhancing road safety and transportation efficiency.
Self Driving Automatic Car using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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