Smart Air Quality Monitoring MONI.CA Hackathon Project

Description

I participated in the MONI.CA (MONI.CA Project) Hackathon as part of a multidisciplinary team that developed a conceptual smart air quality monitoring system. We collected real-world environmental data using drones and gliders, processed it with Python, and built an interactive dashboard using Streamlit. The prototype included a logic for real-time SMS alerts when PM (Particulate Matter) thresholds were exceeded, aiming to integrate into a Smart City framework. The project was presented in collaboration with academic institutions.

Key Contributions:

  • Analyzed environmental data collected via drone and glider sensors

  • Created interactive GIS heatmaps using Folium

  • Built a Streamlit app for real-time air quality visualization

  • Designed SMS alert logic to notify users in critical PM conditions

  • Collaborated on visual materials and the final group presentation

Tools


  • Pandas – Data cleaning and manipulation

  • Folium – GIS mapping & heatmap visualization

  • Python – Data processing & analysis

  • Streamlit – Interactive web dashboard prototype

  • Jupyter Notebook – Development and exploratory analysis

  • Canva – Presentation design and infographics