R Darshini

Papers

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About

R. Darshini is an emerging researcher in environmental monitoring and embedded systems, with a focus on integrating low-cost hardware with machine learning to address pressing public health challenges. Her most-cited work, "Arduino-Based Air Quality Monitoring Robot With ML Analysis" (2024, 3 citations), introduces a novel, mobile platform that combines an Arduino microcontroller with gas sensors and machine learning algorithms to detect hazardous pollutants—such as those from vehicle emissions and industrial activity—in real time. This contribution directly tackles the growing threat of ambient air pollution, which is linked to lung cancer, asthma, and cardiovascular disease. By demonstrating how affordable robotics and AI can democratize environmental surveillance, Darshini’s work offers a scalable solution for communities lacking access to expensive monitoring infrastructure. Though early in her career, her research signals a promising trajectory toward practical, data-driven interventions for environmental health. Her ability to bridge engineering and public health underscores her potential to influence both academic research and real-world policy, making her a researcher to watch in the field of smart environmental systems.