Eye state localisation and detection for use in Advanced Driver Assistance System.

Advanced driver-assistance system on Raspberry Pi using CNN, Python and OpenCV

Get any car to drive itself with a highly flexible reimplementation of openpilot.

Creating a driver drowsiness detection project using the Haar -Cascade algorithm can be a valuable contribution to the open-source community

Real-time lane detection system using OpenCV and Python for autonomous vehicle applications

AutoSeatAdjust is an embedded AI project that uses real-time camera-based eye detection to automatically adjust the driver’s seat. It trains an XGBoost regression model on a dataset of eye coordinates mapped to seat positions, enabling the system to predict seat distance and height adjustments for optimal comfort and safety.

Water puddle detection on roads using YOLO-based object detection for driver-assistance and autonomous driving applications.

AI-Powered Smart Road Visibility & Hazard Detection System for smoggy conditions.

🏎️Arduino safety system for eKarts/go-karts with obstacle & overheat alerts, FSM ignition, GPS tracking, SMS notifications, and visual/audio warnings.

🚗 Real-time lane detection using Python & OpenCV with image and video processing pipeline visualization.