air-quality-monitoring

Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI

A real-time air quality monitoring platform for both Turkey and the world. This application collects, processes, and visualizes air quality data from various sensors across different regions. It provides up-to-date information on pollutants such as PM2.5, PM10, NO₂, SO₂, and O₃.

Grafana dashboard for AirGradient ONE indoor air quality monitoring with bathroom extractor state tracking

A real-time weather dashboard providing current conditions, air quality metrics, and interactive 5-day forecasts for global locations with automatic geolocation. Backed by a fully automated CI/CD pipeline for continuous deployment.

Air Guardian is an advanced IoT-based air quality monitoring system designed to enhance safety in outdoor environments.

An outdoor environmental monitoring system utilizing LoRa for long-range communication. This project captures air quality, temperature, and humidity data using Arduino and ESP8266. The data is then transmitted via MQTT to a Flask server for classification and an Android application for real-time visualization.

STM32-based indoor air quality monitoring system using MQ135 and DHT22 sensors with LCD display and data logging.

Community air quality available on your desktop.

Carte Lovelace pour visualiser graphiquement la qualité de l’air dans Home Assistant

AirSense is a responsive air-quality monitoring dashboard designed to make environmental data simple and easy to understand. It provides simulated AQI, PM2.5, PM10, temperature, humidity, and CO₂ readings across major Indian cities, with live updates, trends, historical data, and health recommendations.

HazeGuard is a location-based air-quality awareness platform that helps people understand estimated air conditions and make better-informed decisions before going outdoors.

Lambda Architecture for real-time traffic speed (TomTom) and air quality (OpenAQ) data in Ho Chi Minh City. Streams to Kafka/JSON, processes with PySpark, persists in Lakehouse (MinIO + Delta Lake), and highlights critical periods where PM2.5 spikes align with congestion, supporting smart city traffic and health decisions.

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.

Multi-strategy deep ensembles for 48-hour urban PM2.5 forecasting

This repository contains Python analysis scripts for evaluating indoor air quality during simulated wildfire smoke infiltration events in the NIST IAQ test house.

Enterprise-grade real-time air quality dashboard for Jakarta. Visualizes 24 external IoT sensors using WebGL-accelerated IDW interpolation, backed by a highly concurrent Go API caching gateway.

A Smart Air Quality Monitoring System prototype using Arduino, IoT, and environmental sensors to track temperature, humidity, pressure, and AQI in real-time. Features color-coded LED indicators and buzzer alerts to classify air quality as Good, Moderate, or Poor.

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.

Arduino-based environmental monitoring system with temperature, humidity, gas sensing, LCD output, and ESP8266 Wi-Fi communication.

Developed a real-time IoT-inspired Air Quality & Pollution Monitoring Dashboard using Python, Streamlit, Plotly, and Pandas. Implemented live sensor simulation, AQI classification, pollution alerts, automated report generation, CSV data logging, interactive visualizations, and real-time environmental analytics for smart city monitoring applications