IoT-Based Air Quality Navigation System for Vulnerable Populations

Air pollution is a significant health concern, especially for vulnerable groups like the elderly, children, individuals with respiratory issues, and pregnant women. Current navigation systems don't consider air quality, potentially endangering these at-risk individuals by exposing them to harmful pollution levels. This research paper aims to develop an IoT -based navigation system, similar to Google Maps, focusing on air quality. The proposed solution involves placing kit boxes at specific intervals to monitor key environmental parameters, such as Air Quality Index level, temperature, and humidity. These kit boxes will send data to a central database for real-time analysis. A web application will display this real-time air quality data on a map, enabling users, especially vulnerable groups, to choose less-polluted routes. This initiative aims to leverage technology for effective air quality management and protect the health of sensitive populations.