BreathingKathmandu

Deep learning models and dataset for recognizing industrial smoke emissions

A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.

Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

This repository contains the notebooks used in my project "Air quality analysis and forecasting"

Air-quality forecasting in Belgium using Deep Neural Networks, Neuroevolution and distributed Island T?ranspeciation

?Air pollution visualization and forecasting platform based on Flask and TensorFlow

Simple micropython air quality data exporter/WebUI using RP2040 and SEN5x sensor

THIS WEB_APP ALLOWS USER TO PREDICT THE AIR QUALITY INDEX BASED ON FEATURES LIKE TEMPERATURE, WIND VELOCITY, ATMOSPHERIC PRESSURE

Forecasting air pollution from given weather data. Two models were implemented: Regression Trees and LSTM model.

Home Air Quality monitor and Voice Assistant running on Raspberry Pi zero