CycleAI

Map

Click to add a dangerous place for cycling or upvote one from the existing list!

Numbers

Hotspots

Votes

About

Our idea consists in creating an AI model to analytically estimate a perceived safety score for every image being analysed:

Firstly, we are asking you to help us locate unsafe hotspots or places needing intervention (so that we can validate our previous model), while we start working with urban labs on solutions to promote change. If you can, upload a photo of the place and leave a comment to caption it. You may also vote on the pins already placed - we are trying to empower cyclists in fighting for their own safety, so it is all about community values. Let's make our home a safer, greener, cleaner place. Next steps will be further announced.

Thank you!

Timeline

May 2020

Miguel Peliteiro

Miguel Peliteiro, a tech-savyy MD, is run over by a car while cycling on a bike path. Critically injured, induced coma, 5 surgeries, 4-month hospital stay. Currently thriving to start medical practice.
August 2020

Luís Rita

Luís Rita, a skillful data scientist and daily bike user, develops Become a Better Cyclist with Deep Learning at Imperial College London. Currently working on his PhD there. Top Talent Under 25 in the meanwhile.
October 2020

Foundation

The two linked, brainstormed and decided to take action. Ended up drafting this ambitious project. CycleAI is born.
November 2020

Winners of European Cyclists' Federation Hackathon

CycleAI is the winner of the European Cyclists' Federation Hackathon. And has now chances of being featured in the United Nations website and selected as one of the most innovative projects. Pitching in the world’s biggest cycling conference: Velo-City 2021 Lisbon.
November 2020

Codrin Bostan

CycleAI has a new member. Known for its entrepreneurial projects and a singular mind in Machine Learning and Web Development, Codrin Bostan embarks on this adventure.
December 2020

Winners of BET/AWS University Challenge

With the technical support from Amazon and a prize money to accelerate the project, we now have the tools to present the first results.
December 2020

Winners of AML/BGI Lisbon Challenge

With Building Global Innovators and Área Metropolitana de Lisboa, we will implement our project in the capital. Its urban area comprises 3M people out of the 11M in Portugal.
December 2020

Stamatios Kourkoutas

Finished a MSc in Computing from Imperial College London, now embarks in CycleAI as our Software Developer and responsible for the Machine Learning component.
Early 2021

Results

First results from our poll are out – crowdsourcing phase 1 is complete. Onto other crowdsourcing models. Coding on the way. Time to start changing urban planning!