💧 Water Quality Prediction System

An intelligent system for predicting water potability using machine learning

✨ Features

🔮 Smart Prediction

• Real-time water quality analysis
• Advanced machine learning algorithms
• Instant potability results

🌐 Web Interface

• User-friendly dashboard
• Interactive prediction form
• Beautiful visualization of results

📧 Notifications

• Email alert system
• Detailed prediction reports
• Instant feedback

📚 Knowledge Base

• Comprehensive blog section
• Water quality information
• Expert insights

🛠️ Technical Stack

• 🐍 Backend: Flask (Python)
• 🎨 Frontend: HTML, CSS, JavaScript
• 🤖 Machine Learning: scikit-learn
• 📊 Data Processing: pandas, numpy
• 🔄 Model: Voting Classifier

🚀 Installation

1. Clone the repository

git clone [repository-url]
cd water-project

2. Set up Python environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

4. Run the application

python app.py

💻 Usage

1. 🌐 Open your browser and navigate to http://localhost:5000
2. 📝 Enter water quality parameters in the prediction form:
   • pH Value
   • Hardness
   • Total Dissolved Solids
   • Chloramines
   • Sulfate
   • Conductivity
   • Organic Carbon
   • Trihalomethanes
   • Turbidity
3. 🔍 Click "Predict" to get instant results

📁 Project Structure

water-project/
├── 📂 static/
│   ├── css/
│   ├── js/
│   └── images/
├── 📂 templates/
│   ├── index.html
│   ├── predict.html
│   └── result.html
├── 📄 app.py
├── 📊 water_potability.csv
└── 🤖 voting_classifier_model.pkl

🎯 Model Performance

Our Voting Classifier model achieves:

• ✅ Accuracy: 75-80%
• ✅ Reliable predictions
• ✅ Fast processing time

🤝 Contributing

1. 🔱 Fork the repository
2. 🌿 Create your feature branch (git checkout -b feature/AmazingFeature)
3. 💾 Commit your changes (git commit -m 'Add some AmazingFeature')
4. 📤 Push to the branch (git push origin feature/AmazingFeature)
5. 🎁 Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Contact

📧 Email: ayinalakoteswararao@gmail.com 🌐 Website: Through the contact form on our website

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Made with ❤️ by the Water Quality Prediction Team