The world is moving towards autonomous driving but although the need for this is high, but existing autonomous driving solutions are being sold at an inaccessible high price tags and are often exclusive only on luxury cars making them inaccessible for the general of users, but the problem is that most vehicles are non-autonomous, This innovation addresses this issue by converting virtually any already non-autonomous car into a fully-autonomous car from any year model, either it is new ot old at a minimal price, with NO modification to the vehicle itself. The project uses Camera sensors and other sensors that gets placed around the vehicle and a CNN model will process this data and then Servo motors will Control the Brake, Gas pedals and the steering wheel in the vehicle effectively controlling it.
Our Vision
We envision a future in which autonomous mobility is a universal right, not an elite luxury. By democratizing self‑driving technology through an affordable, retrofittable kit, we aim to unlock safe, reliable, and sustainable transportation for every car owner—regardless of make, model, or income level. Our system empowers people with special needs, reduces traffic congestion through vehicle‑to‑vehicle cooperation, and lowers the environmental footprint of personal travel by extending the useful life of existing vehicles. We are committed to continual innovation—leveraging cutting‑edge AI, reinforcement learning, and peer‑to‑peer data sharing—to create a global ecosystem where any driver can transform their current car into a smart, autonomous partner on the road.
Enviroments & Prototypes
Project Iterations
Future Works
➢ We will test the Invention in a dark environment to test night driving capabilities ➢ We will make Data Transmission between vehicles in the same city. ➢ we will apply the product in a real full-scale vehicle by installing cameras and sensors that monitor the driver’s pedal presses and steering angles. These sensors collect data for an AI model to replicate perfectly. Then, we will install motors that allow the model to drive the car. ➢ We Will add reinforcement learning Fine-Tuning to improve performance.
Cost Analysis
About The Student
➢ The Student Was Chosen between 270,000 Students in Saudi arabia to participate in ITEX 25 as part of the official team
➢ The Student won a Grand award in Ibdaa 25
➢ The Student won 1st place as best design in the Arab Gulf in Future Sience Challenge 22
➢ The student was honored as one of the best students in the arab gulf, it was .
➢ The Student won 1st as best core values in First Lego League in saudi arabia.
➢ The Student won 1st Place as best project in The World Robotics Olympiad 2020.
➢ The Student won 2nd place in saudi arabia in tuwaiq academy Web apps Challenge in 2023.
➢ The student won 3rd place in saudi arabia in the ramadan Sience Project Challenges 2019.
Contact Us
Ibrahim Refai
Phone: +966 559747846
Email: hemorefai2010@gmail.com
Jazan, Saudi arabia