AI-Powered Resource Matching System using Firestore & Gemini
The Real-Time Surplus Engine is a cloud-native platform built on Google Cloud Platform and Firestore that enables instant matching of surplus resources with real-time demand. It leverages serverless architecture and AI-powered insights using Gemini 3 Flash to optimize resource allocation efficiently.
Large amounts of surplus resources (food, inventory, materials) go unused while demand exists elsewhere. Traditional systems fail to match supply and demand in real-time.
This project provides a real-time engine that:
- Tracks surplus and demand instantly
- Matches resources dynamically
- Uses AI for smarter recommendations
- Frontend: React + Vite
- Backend: Firebase Cloud Functions
- Database: Firestore
- AI: Gemini 3 Flash (Vertex AI)
- Hosting: Firebase Hosting
User → React App → Firestore → Cloud Functions → Gemini AI → Firestore
- 🔄 Real-time data synchronization
- ⚡ Instant surplus-demand matching
- 🤖 AI-powered recommendations
- 📡 Event-driven backend (Cloud Functions)
- 🌐 Scalable cloud deployment
- 📍 Location-based matching (GeoHash)
- 🔔 Notification system
- 📈 Analytics dashboard
- 🧠 Advanced AI optimization
- Built using real-time NoSQL database
- Serverless architecture with Cloud Functions
- Integrated AI for intelligent decision-making
- Designed for scalability and real-world impact
Pull requests are welcome. For major changes, please open an issue first.
git clone https://github.com/your-username/surplus-engine
cd surplus-engine
npm install
npm run dev
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# 🔥 10. Firebase Setup
```md
## 🔥 Firebase Setup
1. Create project in Google Cloud
2. Enable Firestore & Functions
3. Add Firebase config in project
4. Run:
```bash
firebase deploy
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# 🧪 11. Testing
```md
## 🧪 Testing
- Add surplus and demand entries
- Verify real-time updates
- Check Cloud Function logs for matches