Making Toronto's democracy more accessible.

A basic municipal address Geocoder

Data scraped from various sites for housing data around the greater Toronto area (GTA). Scrapes happen daily and data is in both JSON and CSV formats. Free to use for analysis.

Bike Share Toronto 2021 Data Analysis & Interactive Visualization

A UI for the myttc.ca API, made with tailwind and jquery.

Unofficial Pearson Airport API providing data on departing and arriving flights. Microservice architecture written with Node.js, Express, Python, MySQL, and Docker.

Project Explores Toronto Neighborhoods and Housing using a variety of data science and machine learning techniques.

A prepared environment for beginners to start on data science(Python, Jupyter and Pandas), with code retrieving real time Covid-19 case open data, and sample plotting scripts.

🚗 TorontoParking: Revolutionizing 🌆 Toronto's parking game! Tap into open data, find 🅿️ spots, and reserve in a snap! 📱🎉

Maze is an Android app (Android Auto compatible) that helps drivers avoid parking violations in real time. Drive with Waze 👻, Park with Maze 🚔

Toronto bike share API library

Production-grade real-time transit analytics platform for Toronto TTC. Ingests GTFS Realtime feeds (vehicle positions & trip updates) every 30s, implements medallion architecture with MinIO data lake and Postgres warehouse. Airflow orchestration, Docker deployment. Built for analyzing delays, vehicle utilization, and service patterns.

An analysis of Toronto Paramedic Services' response times to determine its efficacy as an emergency service.

Statistical and geospatial analysis of Toronto Bike Share data and what it can tell us about the impact of changes to Toronto's bicycle infrastructure

Press a button and be shown a random Toronto street bench. Have a seat.

An interactive dashboard visualizing Toronto crime and neighbourhood profiles using Flask, Mongo, Python, and viz tools such as Plotly, Leaflet, D3.js.

Geospatial dataset of 1000+ aggregated variables for neighbourhoods in Toronto, ON, CA

aws lambda function to get collection schedule for a Toronto address

This analysis looks at basement flooding and sewage service requests across Toronto wards from 2005 to 2023.

This is a repository for a research article that is currently under peer review (as of October 2024). The article uses Machine Learning and Generative AI to compare how both technologies achieve a particular result in crime suspects exercises.