enviornment

Crowdsourced real-time air quality monitoring platform with hyper-local sensor networks

Created a high frequency trading arena where agentic ai agents (rule-based, hybrid, etc.) compete in an latency-constrained agent arena. Simulates the real-time pressure driven environment of high frequency trading

The easiest way to manage enviornment variables across your devices.

Hydrosense is a physics-informed water-quality forecasting project for Alameda Creek, California. It combines live stream and weather data, satellite imagery, and a PINN-based research model to predict nitrate risk and track accuracy over time in a transparent public demo.

Exploration in climate change, enviornmental data, and sustainable urban development or smart cities - notebooks, visualizations, and analysis using open datasets

Interactive Streamlit dashboard for monitoring and forecasting temperature, air quality, and rainfall across Indian state capitals. Features dynamic maps (Folium), AI-powered forecasting (Prophet), and region-season adjusted simulations. Ideal for environmental trend analysis and awareness.

Python-based Air Quality Monitoring Dashboard with AQI analysis, PM2.5 monitoring, pollution alerts, environmental sensor simulation, and data visualization.