This project is a prototype for fully functional, professional, and deployment-ready web application for monitoring road infrastructure using AI. It features image-based condition analysis, critical dataset tracking, and forecasting for maintenance schedules.
- 📸 Gallery View: Displays all uploaded datasets with images.
- 🔍 Search Bar: Enables quick dataset search by name, location, or condition.
- 📊 Critical Records Sidebar: Highlights most urgent infrastructure issues.
- 📂 Upload Page: Allows users to upload images with metadata (name, location).
- 📌 Left Sidebar Navigation: Provides easy access to different sections.
- 🎨 Professional UI Design: Uses the specified color theme for a modern look.
- 🖼️ Image Condition Analysis: Uses AI to classify infrastructure health (Good, Medium, Critical).
- 📡 API for Frontend Integration: RESTful API for smooth data transfer.
- 📊 Predictive Analysis: Forecasts infrastructure wear & tear based on images and climate data.
- 🗄️ Stores Dataset: Saves images, metadata, and predictions.
- 🔄 Retrieves Data Efficiently: Optimized querying for frontend display.
- React (Vite)
- TailwindCSS
- FastAPI
- Python
- Uvicorn
- MongoDB
