The Pollution Detection and Sustainability Project aims to address environmental concerns by providing a solution for real-time pollution detection and promoting sustainable practices.
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Real-time Pollution Detection: Utilizes advanced sensors and data analysis to detect and monitor pollution levels in real-time.
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Data Visualization: Presents pollution data in a visually appealing and easy-to-understand format, enabling users to make informed decisions.
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Sustainability Recommendations: Offers suggestions and recommendations for sustainable practices based on the collected data.
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Open-Source: This project is open-source, allowing collaboration and contributions from the community to enhance its capabilities.
To use the ML OR models follow these steps:
- Download the joblib binary file of the models
- and recompile it to it's python object form
- and use model.predict() to use it
Follow these steps to set up the project:
- Clone the repository:
git clone https://github.com/your-username/pollution-detection.git