The Water Scarcity Prediction App is a machine learning-based project that predicts water availability and scarcity levels using historical data. It helps analyze patterns in water usage and supports better decision-making for sustainable water resource management.
- Analyze water-related datasets
- Predict water scarcity levels using machine learning
- Provide insights for efficient water usage
- Build a simple and user-friendly application
- Data preprocessing and cleaning
- Machine learning model training
- Prediction system for water scarcity
- Organized backend and frontend structure
- Easy to understand and scalable code
- Programming Language: Python
- Libraries: Pandas, NumPy, Scikit-learn, TensorFlow
- Frameworks: Flask / Streamlit
- Tools: GitHub, Jupyter Notebook / Google Colab
water-scarcity-app/ │ ├── app/ # Backend application code ├── frontend/ # User interface files ├── model/ # Trained ML model ├── train_model.py # Script to train the model ├── requirements.txt # Dependencies └── README.md # Project documentation
git clone https://github.com/your-username/water-scarcity-app.git cd water-scarcity-app
pip install -r requirements.txt
python app.py
- Data is collected and preprocessed
- Important features are selected
- Machine learning model is trained
- Model predicts water scarcity based on input data
- Integration with real-time data
- Deployment on cloud platforms
- Improve model accuracy
- Develop mobile-friendly version
Kunal Rawat,Mansha suhag,Anay agarwal,Kashvi arora BSc Data Science & AI
https://github.com/your-username/water-scarcity-app
This project was developed as part of an academic assignment to demonstrate practical implementation of machine learning concepts.