Deterministic environmental control engine for Home Assistant. With humidity, dew point and air quality resolution without automation conflicts.

Explore our tools to make informed agricultural decisions.

Machine Learning Project to predict the Air Quality Index

AQISystem_v3.2.py 脚本构建了一个综合的空气质量指数（AQI）及多种污染物浓度预测与异常数据检测系统。该系统利用基于Transformer的深度学习模型进行多目标时间序列预测，并集成了数据预处理、模型训练、超参数优化、模型评估、预测以及异常点识别等功能。系统通过命令行界面与用户交互，并将所有控制台输出及详细的训练过程记录到日志文件中。

Deep Gaussian Processes for Air Quality Inference

The study analyses the AQI and predicts before and after lockdown of COVID-19 in India.

MLOps application that forecasts the next three days Air Quality Index (AQI) for Lahore, Pakistan, using a 100% serverless stack.

Code for paper"ADNNet: Attention-based deep neural network for Air Quality Index prediction"

A ML project based on aqi data

REST API for real-time air quality index (AQI) and pollutant data. Query by city name or GPS coordinates.

Time-series based Air Quality Index (AQI) prediction model built using multi-city Indian pollution data. Includes EDA, feature engineering (log & lag features), and Random Forest/XGBoost models achieving 0.90+ R² accuracy.

deep learning pipeline to forecast the next-day maximum Air Quality Index (AQI) for Tashkent, Uzbekistan using a Convolutional Neural Network (CNN)

Predict the AQI of Indian cities using ML after lockdown using data from 2015-2020; data visualisation for different cities for different periods of time.

AQI Forecasting webapp

A Machine Learning web application to predict Air Quality Index (AQI) using XGBoost and Flask, featuring a React.js frontend.

A smart air pollution monitoring system

A Flask-based web application that predicts the Air Quality Index (AQI) in India. It scrapes real-time data, performs comprehensive data cleaning and feature engineering, and trains multiple machine learning models (including XGBoost, LightGBM, and CatBoost) to find the best predictor.

Hackathon project for Mastek's Deep Blue season 6 on visualization of AQI and its components integrated with SARIMAX statistical model.

Predictive ML engine forecasting daily PM2.5 levels in Lucknow, India. Features comparative analysis (Linear Regression vs Random Forest) and automated public health advisories.

Project for 10Pearls Internship