akshaymogaveera/Self-Driving-Robot-Using-Neural-Network

This project is a classic hobbyist/tutorial implementation of a self-driving car, likely inspired by early DonkeyCar or similar educational projects from the 2017-2018 era. With only 16 stars and 9 forks over 6 years, it lacks any significant community traction or development velocity. The technical approach—streaming video to a laptop for processing and sending commands back to a Raspberry Pi—is a standard 'split architecture' used when local edge compute was insufficient. Today, this has been largely superseded by more robust frameworks like DonkeyCar, Duckietown, or AWS DeepRacer, which offer better integration, larger datasets, and more sophisticated control algorithms. There is no moat here; the code serves as a reference implementation for a student-level project rather than a foundation for commercial or research-grade technology. Frontier labs and major tech platforms already offer vastly superior toolsets (e.g., NVIDIA Isaac, AWS DeepRacer) that render this specific implementation obsolete for anything beyond a personal learning exercise.