The Bengaluru AI Road Guardian project is an AI-driven pothole reporting web app designed to improve road safety in Bengaluru. It allows citizens to report potholes in real-time by submitting images, which are automatically processed using AI for pothole detection. The app also uses geolocation data captured via camera and geolocation APIs to pinpoint pothole locations with precision.
- Pothole Reporting: Users can capture and upload images of potholes 📸, which are processed to detect and report their severity.
- Automatic Geolocation: Geolocation is detected via camera and geolocation APIs 📍, ensuring accurate placement of potholes on the map.
- Emergency Dashboard: Designed a dynamic dashboard 🖥️ for emergency services to visualize live pothole reports with interactive maps (Leaflet.js) and case analytics (Chart.js).
- Data Logging: Integrated CSV logging 📊 for captured data, which helps in training machine learning models for pothole auto-recognition.
- Frontend: HTML, CSS, JavaScript, Leaflet.js, Chart.js
- Backend: Node.js, Express.js (if applicable for your back-end needs)
- AI Integration: Machine learning pipeline for pothole detection
- Version Control: Git, GitHub