Tashkent AQI prediction app
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Updated
Nov 19, 2024 - Jupyter Notebook
Tashkent AQI prediction app
Texting service to receive current air quality conditions and maps, powered by AirNow, Twilio, and AWS
This project analyzes air quality data across regions to identify improvement areas, track trends, and classify similar regions using clustering. Leveraging PySpark, it processes sensor data, calculates Air Quality Index (AQI), and visualizes results with histograms and geographic maps to highlight areas with good air quality.
😷☁️ Retrieves air quality scores for locations in the United States.
Weather app that provides current weather conditions & with your current location, a 5-day forecast, a detailed highlights including AQI, visibility, atmospheric pressure, UV index, pollen, humidity, sunrise/sunset timings, Celsius/Fahrenheit
An iOS 17 weather app written in Swift.
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.
Breatheasy is a website that provides real-time air quality index (AQI) predictions for various states in India. It uses machine learning models, specifically K-Nearest Neighbors (KNN) and Random Forest, to predict the AQI for different locations.
e-paper clock + weather + AQI + traffic delays - using Waveshare 2.7inch & 4.2inch eink displays running on Raspberry Pi
Machine Learning Project to predict the Air Quality Index
This is a place to show off what went into building my AQI measuring station.
Research on daily AQI data from CPCB bulletins for India between 2015-2023
Find out the air quality of a city near you 🌍
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