New changes (user uploaded dump sites shown on map)

README.md

@@ -1,20 +1,125 @@
+# 🌍 Sky Swachh
 
-  # Sky Swachh
+## Sky Swachh Map Dashboard
+ <img width="1600" height="872" alt="image" src="https://github.com/user-attachments/assets/86d8ad61-ae98-45f8-a0aa-c5ad80c78539" />
 
-  This is a code for detection of illegal dump sites in Bengaluru and providing collection, reporting and allocating it for better use.
 
-  ## Running the code
+**Sky Swachh** is an intelligent, map-based platform designed to detect, monitor, and manage illegal waste dumping in Bengaluru. By leveraging AI-detected dump sites, citizen reports, and smart routing algorithms, it streamlines the waste collection process from detection to processing.
 
-  ### Frontend
-  cd frontend
+## ✨ Key Features
 
-  Run `npm i` to install the dependencies.
+- **🗺️ Interactive Map Dashboard**: Built with React and Leaflet to visualize active dump sites, ward boundaries, dry waste collection centres (DWCC), and waste processing units (WPU).
+- **🤖 AI Dump Detection Integration**: Displays AI-identified risk zones and illegal dump sites from spatial data models.
+- **📸 Citizen Reporting**: Citizens can report illegal dumping with photos and locations, seamlessly integrating into the municipal dashboard.
+- **🚚 Smart Logistics & Routing**: Uses the **OSRM (Open Source Routing Machine)** API to automatically calculate optimized routes for garbage trucks from a dump site to the nearest DWCC, and finally to a WPU.
+- **📊 Real-time Monitoring**: Track active dump sites, cleaned zones, and active fleet operations through a responsive UI.
 
-  Run `npm run dev` to start the development server.
-
-  ### Backend
-  cd backend
-
-  pip install -r requirements.txt
-
-  python app.py
+## 📱 Sky Swachh Citizen App
+
+<img src="space_app.jpeg" alt="Citizen App Space" width="170" align="left" style="margin-right: 20px;" />
+
+**[Sky Swachh Citizen App Repository](https://github.com/aniksha23/Sky-Swachh---Citizen-App)**
+
+CitizenApp gamifies civic engagement in Bengaluru by empowering residents to take action against illegal waste dumping. The app acts as the primary data collection tool for the Sky Swachh ecosystem, seamlessly feeding citizen reports directly into the main map dashboard.
+
+**Core App Features:**
+- **📍 Smart Location Tracking**: Snap photos of illegal dump sites with automatic GPS tagging and time-stamps for precise location mapping.
+- **⚡ AI Verification**: Integrated AI-powered machine learning verifies waste presence in seconds before the report is logged.
+- **🎮 Gamification System**: Verified reports earn 50 points, unlocking ranks and badges to encourage continuous community participation.
+- **🏆 Leaderboards**: Compete on local leaderboards, become an Environmental Hero, and make cities cleaner together.
+- **🚨 Instant Alerts**: Automatically notifies cleanup authorities and syncs with the main municipal dashboard for prompt action.
+
+<br clear="both"/>
+
+## 🛠️ Tech Stack
+
+### Frontend
+- **Framework**: React 18 with Vite
+- **Styling**: Tailwind CSS v4, Radix UI Primitives, Lucide Icons, Framer Motion
+- **Maps**: Leaflet, React-Leaflet
+- **Forms & State**: React Hook Form, Embla Carousel
+
+### Backend
+- **Framework**: FastAPI (Python)
+- **Database**: Firebase Firestore (with fallback JSON data)
+- **Geospatial & Routing**: OSRM API, Photon Geocoding API
+
+## 📂 Project Structure
+
+```text
+sky-swachh/
+├── backend/
+│   ├── data/                 # GeoJSON and JSON fallback data (wards, WPUs, DWCCs)
+│   ├── main.py               # FastAPI application entry point
+│   ├── seed_firestore.py     # Script to populate Firestore DB
+│   └── requirements.txt      # Python dependencies
+├── frontend/
+│   ├── src/
+│   │   ├── app/components/   # React components (MapDashboard, UI elements)
+│   │   ├── services/         # API integration services
+│   │   └── styles/           # Tailwind and global CSS
+│   ├── package.json          # Node dependencies
+│   └── vite.config.ts        # Vite configuration
+└── waste_model.pth           # PyTorch weights for AI dump detection
+```
+
+## 🚀 Getting Started
+
+### Prerequisites
+- [Node.js](https://nodejs.org/) (v18 or higher)
+- [Python](https://www.python.org/) (3.9 or higher)
+- (Optional) Firebase Service Account JSON for Firestore integration.
+
+### 1. Backend Setup
+
+Navigate to the backend directory and set up a Python virtual environment:
+
+```bash
+cd backend
+python3 -m venv venv
+source venv/bin/activate  # On Windows use `venv\Scripts\activate`
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Start the FastAPI server
+python3 main.py
+```
+The backend will run on `http://127.0.0.1:8000`.
+
+*(Optional)*: To use Firebase, place your `serviceAccount.json` inside the `backend/` folder. If not present, the backend gracefully falls back to local mock data.
+
+### 2. Frontend Setup
+
+Open a new terminal window, navigate to the frontend directory:
+
+```bash
+cd frontend
+
+# Install dependencies
+npm install
+
+# Start the Vite development server
+npm run dev
+```
+The frontend will run on `http://localhost:5173`. Open this URL in your browser to view the Map Dashboard.
+
+## 📡 API Endpoints (Backend)
+
+- `GET /api/dumpsites`: Retrieve all detected dump sites.
+- `GET /api/citizen-reports`: Fetch user-submitted reports.
+- `POST /api/reports`: Submit a new citizen report.
+- `GET /api/logistics-route`: Calculates the optimal cleanup route (Dump Site -> DWCC -> WPU).
+- `POST /api/optimize-route`: TSP optimization for multiple waypoints using OSRM.
+- `GET /api/geocode` & `/api/reverse-geocode`: Location search capabilities.
+
+## 🤝 Contributing
+
+1. Fork the repository
+2. Create a new feature branch (`git checkout -b feature/amazing-feature`)
+3. Commit your changes (`git commit -m 'Add some amazing feature'`)
+4. Push to the branch (`git push origin feature/amazing-feature`)
+5. Open a Pull Request
+
+---
+*Developed for a cleaner, greener Bengaluru.* 🌳

backend/data/training_polygons.geojson

@@ -12,6 +12,13 @@
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 { "type": "Feature", "properties": { "id": 6, "label": 0, "confidence": "high", "class_name": "vegetation" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.747611391486089, 12.97673719055428 ], [ 77.747800325028464, 12.97715799708047 ], [ 77.751115249908253, 12.977802088702191 ], [ 77.749698248340465, 12.978059725350878 ], [ 77.748744992740328, 12.978386065105884 ], [ 77.748221131554658, 12.977261051739946 ], [ 77.748641938080851, 12.976608372229936 ], [ 77.747611391486089, 12.97673719055428 ] ] ] ] } },
 { "type": "Feature", "properties": { "id": 7, "label": 0, "confidence": "high", "class_name": "vegetation" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.749739280202988, 12.977621311907056 ], [ 77.751099554714756, 12.977740335926836 ], [ 77.750810496381007, 12.976941174651175 ], [ 77.749739280202988, 12.977621311907056 ] ] ] ] } },
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+{ "type": "Feature", "properties": { "id": 8, "label": 0, "confidence": "high", "class_name": "water" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.713806804899662, 13.019452447550275 ], [ 77.714078673623106, 13.019416198387148 ], [ 77.712166530268192, 13.016126586833435 ], [ 77.711994346743353, 13.018111228514602 ], [ 77.711994346743353, 13.018111228514602 ], [ 77.713806804899662, 13.019452447550275 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 11, "label": 1, "confidence": "high", "class_name": "dump_site", "area": "Whitefield" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.7469, 12.9631 ], [ 77.7487, 12.9626 ], [ 77.7511, 12.9629 ], [ 77.7530, 12.9642 ], [ 77.7533, 12.9662 ], [ 77.7519, 12.9676 ], [ 77.7496, 12.9682 ], [ 77.7478, 12.9674 ], [ 77.7470, 12.9658 ], [ 77.7469, 12.9631 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 12, "label": 1, "confidence": "high", "class_name": "dump_site", "area": "Hebbal" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.5897, 13.0421 ], [ 77.5917, 13.0417 ], [ 77.5942, 13.0422 ], [ 77.5958, 13.0434 ], [ 77.5961, 13.0455 ], [ 77.5949, 13.0473 ], [ 77.5929, 13.0481 ], [ 77.5907, 13.0474 ], [ 77.5895, 13.0458 ], [ 77.5897, 13.0421 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 13, "label": 1, "confidence": "high", "class_name": "dump_site", "area": "Bommanahalli" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.6187, 12.8871 ], [ 77.6207, 12.8866 ], [ 77.6232, 12.8869 ], [ 77.6250, 12.8881 ], [ 77.6254, 12.8901 ], [ 77.6241, 12.8919 ], [ 77.6219, 12.8927 ], [ 77.6197, 12.8921 ], [ 77.6186, 12.8906 ], [ 77.6187, 12.8871 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 14, "label": 1, "confidence": "high", "class_name": "dump_site", "area": "Rajajinagar" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.5491, 12.9899 ], [ 77.5510, 12.9894 ], [ 77.5535, 12.9896 ], [ 77.5553, 12.9909 ], [ 77.5558, 12.9926 ], [ 77.5546, 12.9943 ], [ 77.5523, 12.9950 ], [ 77.5502, 12.9942 ], [ 77.5491, 12.9929 ], [ 77.5491, 12.9899 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 15, "label": 1, "confidence": "high", "class_name": "dump_site", "area": "BTM Layout" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.6107, 12.9049 ], [ 77.6127, 12.9044 ], [ 77.6152, 12.9047 ], [ 77.6170, 12.9059 ], [ 77.6174, 12.9079 ], [ 77.6161, 12.9096 ], [ 77.6139, 12.9103 ], [ 77.6117, 12.9096 ], [ 77.6106, 12.9081 ], [ 77.6107, 12.9049 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 16, "label": 1, "confidence": "high", "class_name": "dump_site", "area": "Yeshwanthpur" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.5427, 13.0193 ], [ 77.5447, 13.0187 ], [ 77.5471, 13.0189 ], [ 77.5489, 13.0201 ], [ 77.5493, 13.0222 ], [ 77.5479, 13.0238 ], [ 77.5458, 13.0244 ], [ 77.5436, 13.0237 ], [ 77.5426, 13.0222 ], [ 77.5427, 13.0193 ] ] ] ] } },
+{ "type": "Feature", "properties": { "id": 17, "label": 1, "confidence": "high", "class_name": "dump_site", "area": "Electronic City" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ 77.6757, 12.8413 ], [ 77.6778, 12.8407 ], [ 77.6802, 12.8410 ], [ 77.6820, 12.8422 ], [ 77.6824, 12.8442 ], [ 77.6810, 12.8459 ], [ 77.6788, 12.8466 ], [ 77.6767, 12.8459 ], [ 77.6756, 12.8444 ], [ 77.6757, 12.8413 ] ] ] ] } }
 ]
 }

backend/data/ward_boundaries.json

@@ -0,0 +1,82 @@
+{
+  "type": "FeatureCollection",
+  "features": [
+    {
+      "type": "Feature",
+      "properties": { "name": "Byrasandra", "dumps": 18, "center": [12.915, 77.610] },
+      "geometry": {
+        "type": "Polygon",
+        "coordinates": [[
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+          [77.618, 12.922], [77.608, 12.924], [77.601, 12.918], [77.602, 12.908]
+        ]]
+      }
+    },
+    {
+      "type": "Feature",
+      "properties": { "name": "HSR Layout", "dumps": 24, "center": [12.911, 77.648] },
+      "geometry": {
+        "type": "Polygon",
+        "coordinates": [[
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+          [77.659, 12.925], [77.645, 12.927], [77.634, 12.920], [77.636, 12.897]
+        ]]
+      }
+    },
+    {
+      "type": "Feature",
+      "properties": { "name": "Indiranagara", "dumps": 31, "center": [12.979, 77.641] },
+      "geometry": {
+        "type": "Polygon",
+        "coordinates": [[
+          [77.628, 12.970], [77.645, 12.968], [77.655, 12.974],
+          [77.653, 12.989], [77.640, 12.991], [77.627, 12.984], [77.628, 12.970]
+        ]]
+      }
+    },
+    {
+      "type": "Feature",
+      "properties": { "name": "JP Nagara", "dumps": 15, "center": [12.898, 77.591] },
+      "geometry": {
+        "type": "Polygon",
+        "coordinates": [[
+          [77.578, 12.884], [77.595, 12.882], [77.604, 12.888],
+          [77.602, 12.911], [77.588, 12.914], [77.577, 12.907], [77.578, 12.884]
+        ]]
+      }
+    },
+    {
+      "type": "Feature",
+      "properties": { "name": "Sarakki", "dumps": 12, "center": [12.918, 77.564] },
+      "geometry": {
+        "type": "Polygon",
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+        ]]
+      }
+    },
+    {
+      "type": "Feature",
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+      "geometry": {
+        "type": "Polygon",
+        "coordinates": [[
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+        ]]
+      }
+    },
+    {
+      "type": "Feature",
+      "properties": { "name": "Whitefield", "dumps": 42, "center": [12.970, 77.750] },
+      "geometry": {
+        "type": "Polygon",
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+        ]]
+      }
+    }
+  ]
+}