Find Me in Chicago i

From Find Me
in Chicago the 10 Closest the 20 Closest the 50 Closest the 100 Closest all (could be a lot) 🚗 Abandoned Vehicles  🏢 Affordable Rentals 😄 Amusements ★ 🚴 Bike Racks  💥 Crashes This Week🏫 Early Learning Programs 🔌 EV Charging Stations 🎥 Filmings (TV, Movies etc.) 🤢 Food Inspection Fails 🎨 Graffiti Complaints  🏛 Landmarks 👮 Police Stations 🖼 Public Murals 🚦 Red Light Cameras 📸 Speed Cameras 🍻 Taverns  <- Choose
via AWS ☁ via Azure ☁ Use Current Location

Powered by Google Maps, and real time information from Socrata via AWS Lambda or Microsoft Azure serverless functions.

This is a fun project designed, developed and operated by David Kawliche to unoffically promote the Chicago Data Portal.

Technology includes C#, Azure Function Apps, Lambda Function URLs, AWS SAM Infrastructure as Code (IaC), HTML5, CSS, JavaScript, JSON, AJAX, REST, Geocoding, Reverse Geocoding, Mobile Friendly, Responsive Design, Single Page App (SPA), Microformat and Web Services with a little help from my friends GitHub Copilot, Amazon Q (Code Whisperer), Gemini Code Assist, and ChatGPT.

This site provides applications using data that has been modified for use from its original source, www.cityofchicago.org, the official website of the City of Chicago. The City of Chicago makes no claims as to the content, accuracy, timeliness, or completeness of any of the data provided at this site. The data provided at this site is subject to change at any time. It is understood that the data provided at this site is being used at one's own risk.