It is a special hackathon for all of us because of the global pandemic and thus we think COVID-19 will be a suitable topic to explore and build something meaningful that can serve the community.
What it does
We integrate Computer Vision model into our mobile app to detect every pedestrians on the road and identified each of them with two indexed: are they wearing masks and the distance between them with the user. If they are too close with the user and they don't have mask on. The UI will change and the warning sound will be triggered to notified the blind people.
How we built it
We use Flask as the backend with Pytorch to construct and train the CV model. For the frontend part we use React Native to build the mobile app
Challenges we ran into
Accomplishments that we're proud of
Each of us we have done something that we have never done before. For example Steven did React Native, Prince did Backend and Richard did Machine Learning all for their first time.
What's next for FiatLux
We plan to beautify our UI and add more functionalities such as adding direction notifications for the blind people, and can add detections for the barriers.