Interactive Power BI dashboard analyzing Beijing’s air quality using environmental sensor data. Features advanced DAX measures, pollutant trend insights, temperature and humidity analysis, and fully interactive visuals for professional environmental reporting.
The project provides a comprehensive Dashboard that presents the findings of the data analysis related to analyzing pollution data and CNS disease statistics in the Italian province.
Python environmental data analysis project examining river toxin levels using Pandas, data cleaning, statistical summaries, visualisations, and trend analysis to identify pollution patterns, concentration changes, and potential environmental risk indicators.
Environmental Anomaly Detection using DBSCAN for Spatio-Temporal Air Quality Analysis in Ahmedabad (2023–2025) with Python, Plotly, and Tableau.
AI-powered environmental monitoring and pollution prediction system with sustainability analytics and interactive dashboards.
AI-powered environmental monitoring and air quality intelligence dashboard using Machine Learning, Streamlit, forecasting, real-time AQI APIs, and interactive visual analytics.
A production-grade backend for identifying, verifying, and enforcing pollution control measures in Delhi.
Air quality analysis with MATLAB, PCA, polynomial fitting, and pollution trend visualization.
Analysis of air quality factors using EDA, correlation and regression models.
Delhi air quality analysis and prediction project using Python, machine learning, and data visualization to study pollution patterns and forecast AQI trends.
🌍 Analyze and forecast air quality in India using historical data and machine learning to tackle PM2.5 pollution challenges effectively.
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