Explore live open-source projects and AI models.

Achoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, the Pi will email his school nurse, and myself, notifying her that he may need preemptive treatment.... Read more

This Python-based project leverages machine learning to predict air quality levels using synthetic pollutant data, simulating real-world air quality monitoring for various pollutants.

This is an interactive Air Quality Monitoring Dashboard that visualizes real-time air quality data across various cities. The dashboard features real-time air quality metrics such as AQI (Air Quality Index), PM2.5 levels, and temperature.

This project simulates IoT sensor data to predict Air Quality Index (AQI) using machine learning. It generates synthetic datasets, computes AQI, trains multiple models, and provides evaluation metrics and visualizations for real-time air quality monitoring and decision-making support.

Air pollution is a major environmental issue that affects human health and well being. To combat this issue, a smart air monitoring system has been developed to provide real-time air quality data. The system uses various sensors to monitor the levels of pollutants in the air, such as particula... Read more

A python 3 package to retrieve ambient air monitoring data from the United States Environmental Protection Agency’s (US EPA) Air Quality System (AQS) Data Mart API v2 interface

Air-Quality-Prediction-System is a machine learning project that analyzes and predicts Air Quality Index (AQI) using environmental pollutant data such as PM2.5, PM10, NO₂, CO, and O₃. The system uses synthetic data for modeling, evaluation, and Excel export, supporting environmental monitoring

sensors.AFRICA is a citizen-science focused project by Code for Africa that seeks to address data gaps by providing low cost sensors, which people can use to measure and monitor the quality of the air, water, and sound in their communities.

MCP server providing 12 weather tools to AI assistants. Features: forecasts, current conditions, historical data (1940-present), weather alerts, air quality, marine conditions, lightning detection, weather radar imagery, river monitoring, and wildfire tracking. Global coverage. No API keys required.

Real-Time Urban Air Quality Intelligence & Alert System is a fully streaming, AI-driven air quality monitoring system that ingests sensor data from urban pollution stations across Indian cities, processes it in real-time using the Pathway framework, applies a trained Random Forest classifier to a... Read more