Indian Institute of Technology, Bombay
The project focuses on developing a low-cost sensor (LCS) network for air quality (AQ) monitoring. Aimed at providing high spatio-temporal coverage at a fraction of traditional monitoring costs, this project addresses the critical need for accurate and reliable AQ data across heterogeneous environments.
- Self-Calibrating: Periodically recalibrates against reference-grade analyzers to maintain accuracy.
- Self-Diagnosable: Alerts users for maintenance, ensuring continuous, high-quality data.
- Optimized for Low Cost: Enables widespread AQ monitoring with minimal financial investment.
- High Spatial and Temporal Resolution: Captures the highly variable nature of AQ in urban and non-urban settings.
- Clone the repository:
git clone https://github.com/hitansh1299/IITB_LCS.git
- Install required dependencies:
pip install -r requirements.txt
- To start collecting data from the LCS network, run:
python app.py
- For configuration details, refer to
config.py
. - Data analysis and calibration scripts can be found under
models
and is under development.
We welcome contributions from the community, including bug reports, feature requests, and code contributions. Please open a PR to help with the code.
This project is licensed under the MIT License - see the LICENSE
file for details.
For any queries or further information, please contact [email protected]