pollution-monitoring

Automatic pipeline to download, process, and visualize Sentinel-5P data for pollution monitoring

Interactive AQI visualization tool for Indian and global cities using Flask, Folium, and Python.

Python package for calculating Air Quality Index (AQI) based on CONAMA Resolution 491/2018 standards. Supports PM10, PM25, SO2, NO2, CO, O3.

ai-powered pollution monitoring & prediction system — YOLOv8 detection, DBSCAN hotspot clustering, and Random Forest AQI forecasting, wrapped in a FastAPI backend with JWT auth, real-time alerts, and CI/CD .

A basic system which measures the temperature and humidity and displays it back on the LCD screen.

AI-powered air quality monitoring platform built with React, TypeScript, and Google Gemini AI featuring AQI prediction, health risk analysis, pollution alerts, interactive dashboards, and an AI assistant.

New Delhi AQI Forecaster: OpenAQ + XGBoost + Streamlit for 6h/12h/24h multi-pollutant air-quality predictions and health advisories.

End-to-end air quality analytics pipeline for 5 Indian cities; live OpenAQ API data, MySQL, and an interactive Power BI dashboard tracking WHO/CPCB threshold breaches.

Photorealistic 3D Earth globe visualising live global disaster feeds, GDACS flood/storm events, WAQI air quality plumes, solar flares, and interactive 2100 climate scenario simulations.

IoT-based real-time air pollution monitoring using Arduino Uno, ESP8266, MQ Sensors, DHT11, Dust Sensor, and ThingSpeak.

Eco-Bot is an AI-powered chatbot that helps users navigate through areas based on real-time Air Quality Index (AQI) data. The system integrates AI-driven responses, pollution-aware routing, and environmental insights to promote safer and healthier travel choices.

The proposed system utilizes MQ135 gas sensor, DHT11 sensor, and BMP280 pressure sensor to accurately measure pollution and Air Quality Index (AQI) levels for environment monitoring. The data collected by these sensors is transmitted to Firebase (RTDB) and then it is fetched by an Android application.

End-to-End Tableau Project analyzing pollution trends in India (2015-2020).

A website that makes us aware of the AQI of the place we're in, to give access to the common people of the situation of the environment, and can also become a tool to raise critics and problems to the municipality of the hazardous or unhealthy conditions of your locality, forcing them to take immediate actions.

Multimodal air quality estimation using satellite imagery + ground sensor data — FastAPI ML pipeline (Random Forest fusion model) with a React analytics dashboard

A production-grade backend for identifying, verifying, and enforcing pollution control measures in Delhi.

In this project i have quantified the amount of Particulate Matter 2.5 and 10 that are present in a single image and seperate them according to the levels of each of their contents into 3 categories :"Okay" , "Moderate" and "Hazardous".

IoT-based Air Quality & Pollution Monitoring Dashboard built using ESP32 (Wokwi), MQTT, Python, SQLite, and Streamlit for real-time environmental monitoring, alert generation, and data visualization.

End-to-end IoT Air Quality Monitoring System featuring AQI analytics, ESP32 deployment support, ThingSpeak cloud integration, Streamlit dashboards, automated reporting, and environmental alert detection.

Projeto de uma Rede de Baixo Custo para Monitoramento da Qualidade do Ar em Ambientes Urbanos: Arquitetura IoT e Planejamento da Implantação