Making Toronto's democracy more accessible.

A user-friendly web app which leverages Daily Shelter Occupancy Data to assist those experiencing (or at risk of) homelessness & meal insecurity, by providing the latest shelter occupancy updates and real-time drop in meal schedules.

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.

A basic municipal address Geocoder

Bike Share Toronto 2021 Data Analysis & Interactive Visualization

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! 📱🎉

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

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

Toronto 2016 census polygons for PostGIS.

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

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

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

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

aws lambda function to get collection schedule for a Toronto address

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

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

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.