Mapping future urban health through is a B.Tech project topic for Environmental Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Mapping future urban health through Project Details
| Abstract |
This project proposes the creation of an artificial intelligence-based system for monitoring air pollution, inspired by the newly emerging relationship between artificial intelligence and the field of urban health. This system will improve understanding and operational control of the range of environmental health risks focused specifically on the air quality component. This project will apply some of the most promising urban health monitoring and predictive analytics techniques by integrating state-of-the-art artificial intelligence for interpretation and processing of various environmental data sets. The primary goal is to enhance the monitoring of specific air pollutants and spatially identify inequities in exposure and long-term health risks to the urban population. The use of
this system, which will monitor predictive analytics as an element of urban governance, will promote an increased focus on data-based public health and environmental protection pathway management. This system will help to increase the focus on protecting and promoting health by actively managing air pollution. More focus will be placed on the practical aspects of real-time data analysis and actionable insights for environmental engineers and urban planners, while also establishing a solid urban health focus.
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| Reference Paper |
Mapping the future of urban health through artificial intelligence: a bibliometric analysis |
| Domain |
Environmental Engineering |
| Sub-Domain |
Air Pollution Monitoring |
| PDF Download |
Download / View PDF |
| Get Help |
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