🌊 FlowState – Groundwater Resource Management App

FlowState is a groundwater resource management system designed to help communities, researchers, and policymakers monitor, analyze, and manage water resources effectively. It integrates machine learning models with real-time data visualization, offering tailored dashboards for different user roles.

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✨ Features

• 📊 Researchers Dashboard – Detailed analytics, trends, and exportable data.
• 🏛️ Policymakers Dashboard – High-level summaries, alerts, and decision insights.
• 🌍 Location Mapping – Interactive map to track water levels and quality across regions.
• 🤖 Machine Learning Integration – Predict water quality using trained .keras and .pkl models.
• 🔔 Alerts System – Real-time notifications for water scarcity or contamination risks.
• 👤 User Management – Role-based access (Researchers, Policymakers, Admins).

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🏗️ Project Structure

FlowState/
│
├─ backend/                # FastAPI backend
│   ├─ app/
│   │   ├─ main.py
│   │   ├─ database.py
│   │   ├─ models.py
│   │   ├─ schemas.py
│   │   ├─ auth.py
│   │   ├─ routes/
│   │   │   ├─ users.py
│   │   │   ├─ locations.py
│   │   │   ├─ water_data.py
│   │   │   └─ ml_predict.py
│   │   └─ utils.py
│   ├─ models/             # Trained ML models
│   │   ├─ groundwater_model.keras
│   │   └─ scaler.pkl
│   ├─ requirements.txt
│   └─ .env
│
├─ frontend/               # React frontend (UI)
│   ├─ src/
│   │   ├─ components/
│   │   ├─ pages/
│   │   └─ services/
│   └─ package.json
│
├─ guidelines.md           # Development and design rules
├─ README.md               # Project overview
└─ CONTRIBUTING.md         # Contribution guidelines (optional)

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⚙️ Tech Stack

Frontend: React, Axios, TailwindCSS (or your chosen UI lib) Backend: FastAPI, SQLAlchemy, JWT Auth Database: PostgreSQL / MySQL / SQLite (configurable) ML Models: TensorFlow/Keras (.keras), Scikit-learn (.pkl) Deployment: Docker, Nginx, or cloud platforms (AWS/GCP/Azure)

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🚀 Getting Started

1. Clone Repository

git clone https://github.com/your-username/flowstate.git
cd flowstate

2. Backend Setup

cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload

Backend runs at: http://127.0.0.1:8000

3. Frontend Setup

cd frontend
npm install
npm start

Frontend runs at: http://localhost:3000

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🔑 Environment Variables

Create a .env file inside backend/ with:

DATABASE_URL=postgresql://user:password@localhost:5432/flowstate
SECRET_KEY=your-secret-key

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📡 API Endpoints (Sample)

Method	Endpoint	Description
POST	/users/register	Register new user
POST	/users/login	Authenticate user & get JWT
GET	/locations	Get all locations
POST	/water	Add new water data
POST	/ml/predict	Predict water quality (ML model)

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📊 Dashboards

• Researchers: Analytics charts, historical trends, detailed reports.
• Policymakers: High-level KPIs, alerts, and actionable insights.

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🛡️ Guidelines & Standards

Please read guidelines.md before contributing. It covers coding style, UI/UX rules, and system architecture.

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🤝 Contributing

Contributions are welcome!

• Fork the repo
• Create a feature branch
• Commit with descriptive messages
• Open a Pull Request

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📜 License

MIT License – feel free to use, modify, and distribute with attribution.

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🌍 Vision

FlowState aims to become a scalable water resource management tool that bridges the gap between scientific research and policy-making, ensuring sustainable groundwater use for future generations.