Developed a real-time IoT-inspired Air Quality & Pollution Monitoring Dashboard using Python, Streamlit, Plotly, and Pandas. Implemented live sensor simulation, AQI classification, pollution alerts, automated report generation, CSV data logging, interactive visualizations, and real-time environmental analytics for smart city monitoring applications
python iot dashboard plotly pandas data-visualization data-analytics analytics-dashboard smart-city aqi environment-monitoring monitoring-system streamlit environmental-data sensor-simulation iot-project air-quality-monitoring pollution-monitoring real-time-dashboard csv-reporting
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Updated
Jun 11, 2026 - Python