Time series analysis to predict AQI in Delhi, dataset collated from Indian Meteorological department of India.

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

This project analyzes Air Quality Index (AQI) data to understand pollution trends. It includes data visualization, analysis of key pollutants, seasonal variations, and insights into air quality improvements or concerns. Built using Python, with libraries like Pandas and Matplotlib.

Tangara Standalone Pipeline. Data sources are provided from Air Quality sensors in Cali, Colombia. https://tangara.chis.pa/

AQA is a data-driven project focused on analyzing air quality data sourced from data.gov.in. The project encompasses data preprocessing, analysis, and visualization to gain insights into air pollution levels across various locations in India. By examining six key pollutants, the project aims to raise awareness about the environmental issues

A real-time air quality monitoring system featuring Arduino sensors, Node.js backend, and React dashboard with personalized health alerts and historical data analysis.A real-time air quality monitoring system featuring Arduino sensors, Node.js backend, and React dashboard with personalized health alerts and historical data analysis.

📊 ShadowFox Data Science Internship Projects (June–July 2025) A collection of real-world data science projects completed during my internship at ShadowFox, focusing on AQI analysis, student social media behavior, and visualization library comparisons using Python, Pandas, Matplotlib, Plotly, and Bokeh.