JeevanRakshak

JeevanRakshak is a project that uses Flask for web development, EPANet for water network simulations, and various data analysis and machine learning tools to provide insights and predictions based on water network data.

Setup the Project

To get started, download and extract the project files to your local machine.

Setup and Installation

1. Navigate to the project directory:

   cd JeevanRakshak
   

2. Create and activate a virtual environment:

   python -m venv my_env
   source my_env/bin/activate  # On Windows use `my_env\Scripts\activate`
   

3. Install the required packages:

   pip install Flask Flask-Cors pandas numpy matplotlib seaborn scikit-learn tensorflow epanettools
   

Project Requirements

This project requires the following Python packages:

• Flask
• Flask-Cors
• pandas
• numpy
• matplotlib
• seaborn
• scikit-learn
• tensorflow
• epanettools

Running the Flask Modules

To run the Python modules, use the following commands:

py waterquality.py

py sensor_allocation_final.py

py finalpilferage.py

py leak_model.py

Running the React Applications

Running GIS Tracking

1. Navigate to the gisTracking-main directory:

   cd gisTracking-main
   

2. Install dependencies:

   npm i
   

3. Navigate to the src directory and start the application:

   cd src
   npm start
   

4. Navigate back to the root directory:

   cd ..
   cd ..
   

Running Dashboard

1. Navigate to the Dashboard directory:

   cd Dashboard
   

2. Install dependencies:

   npm i
   

3. Navigate to the src directory and start the application:

   cd src
   npm start
   

4. Navigate back to the root directory:

   cd ..
   

License

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

Acknowledgements

• EPANettools for water network simulations.
• TensorFlow and Keras for machine learning models.
• Flask for creating the web application.
• Various data analysis libraries like pandas, numpy, and matplotlib.