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.

Toronto bike share API library

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

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.

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

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.

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

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

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

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

Notify drivers in range of Automated Speed Enforcement cameras in Toronto.

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

Identified trends in Major Crime Indicators data to recommend crime reduction strategies.

aws lambda function to get collection schedule for a Toronto address

Data science project investigating the factors affecting delays in TTC buses, streetcars and the subway for SDSS Datathon 2025

Code and data used to analyze Toronto's Major Crime Indicator occurrences as provided by OpenDataToronto.

This project analyzes ticket sales and redemption patterns for the Toronto Island Ferry, offering insights into usage trends and recommendations for optimal travel times based on historical data.

Toronto 2016 census polygons for PostGIS.

A visualization of Covid-19 cases and low-income neighborhoods in Toronto using data from the City of Toronto's Open Data resource.

“End-to-end ML workflow to predict the likelihood of stolen bicycles being recovered using Toronto Police open data. Includes EDA, feature engineering, model training, Flask API, and scenario simulations.”

Exploratory Analysis of the TTC Delay data from the City of Toronto data portal, cross-examined with historical weather data and TTC ridership statistics.

Where is the Safest Space? uOttaHack4 Submission (https://devpost.com/software/where-is-the-safest-space)

This is a repository for a research article published in the Journal of Responsible Technology (Elsevier). The article uses Machine Learning and Generative AI to compare how both technologies achieve a particular result in crime suspects exercises.