Project
Electronics & Machine Learning
Air Quality Monitoring System with Predictive Analysis
ESP32 IoT air quality station that measures pollutants, forecasts air quality trends with machine learning, and sends alerts via a Next.js dashboard.
Project Overview
An IoT environmental monitoring station built on ESP32 microcontrollers and multi-gas sensors to log particulate and pollutant levels continuously.
Uses Python machine-learning models to forecast upcoming air quality shifts and provides a Next.js web dashboard with live charts, historical logs, and mobile threshold alerts.
Key Highlights
- Continuous ESP32 sensor telemetry with machine-learning trend prediction.
- Next.js and Shadcn/UI web dashboard with real-time alerts for poor air quality.
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