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


