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Author(s):

Vaishnavi Shinde | Harshada Patil | Sayali Adsul | Abhiruchi Kotlapure
Keywords:

Air Quality Index (AQI), Environmental Monitoring, Internet Of Things (IoT), Machine Learning, Smart Cities.
Abstract:
EXPOAIR (Environmental EXposure Prediction & Observation For Air Intelligence And Reporting) Is An Intelligent Air Quality Monitoring And Prediction Platform Developed To Provide Real-time Environmental Awareness And Personalized Exposure Insights. The System Integrates An ESP32-based IoT Sensing Unit With Environmental APIs To Collect Localized And Regional Air Quality Data. Sensor Observations Are Transmitted Through MQTT, Processed Using A FastAPI Backend, And Stored In A PostgreSQL Database For Analysis And Visualization. A React-based Web Application Presents Live AQI Monitoring, Weather Conditions, Historical Trends, Prediction Results, And User-oriented Environmental Recommendations Through An Interactive Dashboard. The Modular Architecture Supports Scalable Deployment And Future Integration Of Advanced Machine Learning Models For Improved Air Quality Forecasting. By Combining IoT Sensing, Cloud Communication, And Intelligent Analytics, EXPOAIR Offers A Practical And Cost-effective Solution For Environmental Monitoring, Promoting Informed Decision-making And Healthier Communities.