pollution-data

This is a beginner-level Data Science project carried out in the MCA I Semester, as a Data Visualization Project on topic Pollution Analysis in Indian States and Global Cities.

A Python notebook that aims to analyze the change in air quality index (AQI) for 4 major pollutants (Nitrogen Dioxide, Sulphur Dioxide, Carbon Monoxide, Ozone) that cover all 50 states of the United States from 2000 to 2016.

Jarvis Virtual Assistant - A Python-based project focused on creating a customizable and interactive virtual assistant with support for Polish and Ukrainian languages. Jarvis is capable of performing tasks such as summarizing Google search results, providing current temperature and air pollution levels for a specific location

Real-time IoT Air Quality & Pollution Monitoring Dashboard using Python, Streamlit, and data analytics. The system simulates environmental sensors (AQI, temperature, humidity), classifies pollution levels, generates alerts, and visualizes live data through an interactive futuristic dashboard.

A dynamic and automated Air Quality Monitoring Dashboard built entirely in Google Sheets, powered by real-time data from the Government of India’s open data platform (data.gov.in). The dashboard allows interactive selection of Indian cities, shows pollution levels at multiple stations, and visualizes AQI metrics across pollutants in real-time.

This repository contains the code for LOESS regression on air pollution/mortality data from McDonald, G.C. and Schwing, R.C. (1973).