Self-Driving Car Using CV, ROS, and Jetson Nano

About this project
A fully functional self-driving car prototype integrating computer vision, robotics, and embedded systems for autonomous navigation. Uses OpenCV for real-time lane detection with sliding window and Bird's Eye View transformation, ROS for node management, and Jetson Nano for processing.
Key Highlights
- 🚗 Autonomous lane detection and tracking
- 👁️ Real-time CV with Bird's Eye View
- 🤖 ROS-based control architecture
- 🎓 Delivered educational workshop
Other Projects

SABAQ: Proactive AI Customer Service Agent
A functional prototype of an intelligent multi-agent system designed to predict and resolve customer issues. Demonstrates a scalable Agentic AI architecture capable of serving government sectors, with a roadmap to cover 563 services and integrate via REST APIs.
YAMAMAH Rescue Drone
AI-powered search & rescue system integrating GPT-4 Vision, n8n automation, mmWave sensors, and weather intelligence for autonomous emergency response. Supervised the team to victory at WRO Saudi Arabia 2025.

Hekaya: AI-Powered Cultural Heritage App
An intelligent AI-powered application that recognizes Saudi landmarks and generates personalized stories and visual content. Uses YOLOv8 for Lihyanite script detection, Google Gemini for translation and storytelling, and LangChain + Streamlit for real-time interaction.