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and Rajasthan. We relied heavily on their knowledge and expertise, as well as that of their state team members, in writing this report. Our study would not have been possible without the help they extended to us in arranging field trips and their willingness to address our many questions as we sought to understand the complexities of the National Rural Livelihoods Programme.Funding for this study was provided by the Bill & Melinda Gates Foundation. Our sincere thanks to Yamini Atmavilas for her support and guidance throughout this project. We also owe a huge debt to

Air pollution is a major global health concern, and there is a growing need for effective monitoring systems. This abstract presents an Arduino-based Internet of Things (IoT) system that can be used to monitor air pollution in real time. The system is low-cost, easy to deploy, and scalable, making it a valuable tool for environmental monitoring. The system incorporates low-cost Arduino microcontrollers, sensors, and wireless communication modules to enable remote data collection, analysis, and visualization. The system can be used to monitor air quality in a variety of settings, including schools, workplaces, and homes. The data collected by the system can be used to identify areas with poor or good air quality. The open-source nature of the Arduino platform facilitates community-driven development and customization, encouraging collaboration and innovation in air pollution monitoring. This paper outlines the procedure for constructing a prototype model for air contamination detection. It also emphasizes of alerting system when pollution levels exceed the threshold, enabling timely action and mitigation of the situation.

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