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This invention introduces an AI-driven smart groundwater monitoring and extraction system that integrates real-time data analytics, IoT sensors, and machine learning to optimize water usage, prevent over-extraction, and ensure sustainable management.

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RMaulika/AI-Driven-Groundwater-System

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AI-Driven Groundwater Monitoring System

An interactive web application built using Streamlit to monitor groundwater levels, analyze climate impact, simulate water demand, and generate AI-powered sustainable extraction recommendations for various cities in Punjab, India(for now).It can be extended for other states as well.


Features

  • Select from 20+ cities in Punjab
  • Simulate current weather conditions
  • View groundwater level trends
  • Analyze sector-wise water demand
  • Visualize water supply sources
  • Get AI recommendations for safe extraction limits using Random Forest

Live Demo

🔗 Deploy it on Streamlit Cloud
Or run it locally by following the instructions below.


How to Run Locally

1. Clone the Repository

git clone https://github.com/RMaulika/AI-Driven-Groundwater-System.git
cd AI-Driven-Groundwater-System

2. Install Dependencies

pip install -r requirements.txt


3. Launch the App

streamlit run app.py


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This invention introduces an AI-driven smart groundwater monitoring and extraction system that integrates real-time data analytics, IoT sensors, and machine learning to optimize water usage, prevent over-extraction, and ensure sustainable management.

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