A full-stack web application built with FASTAPI (backend) and React (frontend) to monitor, analyze, and manage water quality data from distributed sensors. This dashboard provides real-time insights, anomaly detection, forecasting, and reporting tools to support environmental monitoring and decision-making.
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📈 Anomaly Detection
- Automatically detects unusual readings from water quality sensors using statistical and machine learning models.
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🔮 Forecasting Trends
- Predicts water quality metrics (e.g., pH, turbidity, temperature) for the next 6 to 12 hours using time-series forecasting.
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🗺️ Map Visualization
- Displays sensor locations on an interactive map with real-time status indicators.
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📄 CSV Report Generation
- Generates downloadable CSV reports for selected sensors over custom time ranges.
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🛠️ Sensor Status Management
- Admin interface to view, update, and manage sensor metadata and operational status.
| Layer | Technology |
|---|---|
| Frontend | React, Leaflet, Axios |
| Backend | FASTAPI, Pandas, Scikit-learn |
| Database | PostgreSQL / SQLite |
| Deployment | Docker, Nginx, GitHub Actions |
cd backend
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
uvicorn main:app --reload