ClearView AI

Inspiration

Having viewed Homes.com a few times before the Hackathon, our team was very interested in how we could add to an already stellar application that makes searching for a home a breeze.

What it does

ClearView AI allows users to upload interior photos of houses and removes unwanted background elements from each picture, allowing future homeowners to feel that the design of the space is up to their interpretation.

How we built it

Our team was able to build our ClearView AI application through the use of Python, TypeScript, Flask, and the Detr-Resnet-50 AI Model, acquired from Hugging Face.

Challenges we ran into

We were originally very dedicated to creating a serverless architecture for our service via the use of AWS S3 Buckets and Amazon Lambda, however, due to limited knowledge of the service and time constraints, our team had to pivot to a localhost application.

Accomplishments that we're proud of

Our ability to brainstorm on short notice! There were multiple times during our ideation and development stages of the hackathon where we had to pivot and were able to do such in a manner that resulted in a rewarding experience.

What we learned

It is always best to start working with unfamiliar technology first, rather than keeping it near the end, as such can allow you to determine a better overall plan timewise.