Wave Of Awarness 🌊

A simple static web application that visualizes yearly trends of annual rainfall and leverages a machine learning model to predict potential water scarcity based on rainfall patterns. The project aims to provide insightful data visualization alongside predictive analytics to aid in water resource management.

Technologies Used

• Front End: Streamlit
• Backend: Streamlit
• Visualization: Matplotlib
• Machine Learning: Scikit-Learn

Setup Instruction

1. Clone the repository

   git clone https://github.com/viabledev/wave-of-awareness.git

2. Run the app

   cd wave-of-awareness

   pip install -r requirements.txt

   streamlit run app.py

Project Structure

/wave-of-awareness
├── app.py             # Main webapp
├── model/              
    ├── model.py       # Training the model
    ├── .pkl           # Weight File
├── requirements.txt   # Dependencies File 
└── README.md 

Contirubutions

• Suggestions, Contributions and Improvements are welcome.
• Feel free to fork and submit pull requests.

Website

https://waveofawareness.streamlit.app/