- Built a real-time assistive navigation system on Raspberry Pi integrating LiDAR and ultrasonic sensors for environmental perception - Developed sensor fusion algorithms to detect obstacles and terrain changes within ~1.5 m using depth map processing and distance sensing - Implemented Python-based real-time detection pipeline for hazard identification and decision logic - Engineered dual-motor haptic feedback system to deliver directional guidance based on obstacle position - Optimized system latency and responsiveness for continuous real-world operation - Designed for assistive navigation applications for combined visually and motor impaired users