S Yuktha
Papers
1
Total Citations
3
H-Index
1
About
S Yuktha is an emerging researcher in embedded systems and environmental monitoring, with a focus on leveraging low-cost hardware and machine learning to address pressing public health challenges. Their most-cited work, "Arduino-Based Air Quality Monitoring Robot With ML Analysis" (2024), has already garnered 3 citations—a strong start for a recent publication. This paper introduces a mobile robotic platform that integrates Arduino microcontrollers with machine learning algorithms to detect hazardous gases like those from vehicles and industrial emissions, which are linked to lung cancer, asthma, and heart disease. By combining real-time sensing with predictive analytics, Yuktha’s contribution offers a scalable, affordable solution for ambient pollution tracking, particularly in underserved areas. The work stands out for its practical approach to democratizing air quality data, enabling proactive health risk mitigation. Yuktha’s research bridges the gap between IoT hardware and intelligent data processing, marking them as a promising voice in the fight against environmental health hazards. Their growing citation count reflects the timeliness and relevance of their contributions to both engineering and public health communities.
Research Focus
Key Achievements
Top Papers
- 1Arduino-Based Air Quality Monitoring Robot With ML Analysis3 citations · 2024