We are interested in machine learning and wanted to implement Watson's Visual Recognition API to create something that would be useful.

What it does

An android app to quickly identify and pull up information from google on flowers and various other objects. Powered by IBM Watson. Made for UofTHacks V (2018).

How we built it

Built using Android Studio using Watson's Visual Recognition API.

Challenges we ran into

App crashing due to incorrect landscape mode implementation. Finding and understanding the substantial amount of documentation. The API would sometimes return inaccurate data.

Accomplishments that we're proud of

Getting a better understanding of how to efficiently go about using new APIs Kept on trying to solve our problems no matter the circumstances

What we learned

A lot more experience in Java How Watson's APIs work at a high level

What's next for Fleural Network

Support for visually impared

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