Accessibility for People with Disabilities in Sofia, Bulgaria Using Machine Learning

Challenge Started!

This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by the Omdena Sofia, Bulgaria Chapter.

The problem

Through machine learning, we can predict and map accessibility for people with disabilities. We can help enable and enhance the experience of travelers that are faced with physical challenges, and we can improve their day-to-day experience and quality of life.

There are various data resources, which may be applied to an accessibility ML solution aimed at accessibility for the disabled. There is mapping of the safest routes and route modelling, but there is also accessibility valuation of sites, sidewalks assessment, and localization of support. The ML solution should consider the specific needs of the end user and provide user-friendly analytics.

Various modes of transport and public sites should be analyzed from the perspective of people with physical disabilities. The ML algorithm should consider the various valuation elements and index accessibility.

The outcome of the challenge should be an API of an ML model which predicts accessibility for people with disabilities within an urban context. It can be initially modelled around the city of Sofia Bulgaria, but adjustable to alternative urban contexts.

The goals

• Gather information about accessibility to buildings and public sites in Sofia.
• Create an ML model which can predict accessibility difficulties for the end user.
• Develop a user-friendly dashboard that can showcase the solution.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work