CivicAI

CivicAI bridges citizens and government by turning complaints into smart actions. Users upload a photo, AI detects issues, avoids duplicates, prioritizes urgency, and routes them for quick resolution.

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🚀 CivicAI – Smart Complaint System

💡 Inspiration

Have you ever seen a pothole on the road or garbage piling up nearby and thought, “Someone should fix this”?

The reality is, many civic issues go unresolved because people either don’t report them, don’t know where to report them, or their complaints get ignored or duplicated. This gap between citizens and authorities inspired us to build CivicAI — a platform that makes reporting issues simple, smart, and impactful.

⚙️ What it does

CivicAI is an AI-powered web application that allows citizens to report civic issues like garbage, potholes, water leakage, and street light failures.

  • Users upload an image and optional description (or use voice input 🎤)
  • AI classifies the issue and assigns a severity level (Low, Medium, High)
  • The system detects duplicate complaints within a 50-meter radius
  • Complaints are automatically routed to the correct department
  • Users can track complaint status in real-time
  • Authorities manage and resolve issues through an admin dashboard with analytics and map view
  • Works even offline and syncs automatically when connected

🛠️ How we built it

We built CivicAI as a full-stack, scalable application:

  • Frontend: React.js + Tailwind CSS for a clean, responsive UI
  • Backend: Node.js + Express for API handling
  • Database: Firebase Firestore for real-time data storage
  • AI Integration: Featherless.ai API for image classification
  • Maps & Location: Google Maps API for geolocation and visualization

For duplicate detection, we used a distance-based approach:

[ d = \sqrt{(lat_1 - lat_2)^2 + (lon_1 - lon_2)^2} ]

If ( d \leq 50 ) meters and the issue type matches, it is considered a duplicate.

⚡ Challenges we ran into

  • Duplicate Detection: Accurately detecting nearby complaints required handling real-world GPS variations
  • AI Reliability: Ensuring correct classification and handling low-confidence predictions
  • Offline Support: Managing local storage and syncing data seamlessly
  • Role-Based System: Designing separate flows for citizens and authorities without complicating UX
  • Real-time Updates: Keeping complaint status updated across users and admins

🏆 Accomplishments that we're proud of

  • Built a fully functional AI-powered civic platform
  • Successfully integrated image classification + rule-based severity detection
  • Implemented duplicate complaint prevention, improving efficiency
  • Created a clean, responsive UI with real-time tracking
  • Designed a complete admin dashboard with analytics and map view
  • Added offline support and voice input, enhancing accessibility

📚 What we learned

  • How to build real-world, impact-driven applications
  • Integrating AI APIs into full-stack systems
  • Working with geolocation, maps, and spatial logic
  • Importance of user-centric design and simplicity
  • Handling edge cases like duplicates, offline data, and sync conflicts
  • Thinking beyond code — as problem solvers and product builders

🔮 What's next for CivicAI

  • Improve AI with custom-trained models for higher accuracy
  • Add multi-language voice support for wider accessibility
  • Implement push notifications for status updates
  • Introduce government API integration for real deployment
  • Enhance analytics with predictive insights and heatmaps
  • Launch as a Progressive Web App (PWA) for better performance

CivicAI is not just a project — it’s a step toward smarter cities and empowered citizens. 🌍

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