Case By Face Basis

Tool in work
Tool in work

Inspiration

Our inspiration is helping the 113 Nigerian schoolgirls from Chibok (and their families) who were kidnapped by Boko Haram in 2014 that are still missing. Our goal was to create an app that would let you take a photo of someone and determine if they were one of those girls. In addition to this, the National Center for Missing and Exploited Children has over 4,000 children in their database as of today. You can apply visual recognition technology to a database like the NCMEC or FBI Missing so that when you take a photo of someone you can identify whether or not they're in the database.

What it does

an iOS app that uses IBM Watson's API for Visual Recognition and determines gender, age and whether or not they are wearing a headscarf. In the future we would like to train this API for facial aging, ethnicity, time and geolocation of where the photo was taken.

How we built it

We researched iOS app development and Dvir built an app by reading textbooks and watching youtube videos. Grace learned how to use Watson APIs and fine tuned them specific for identifying the missing girls.

Challenges we ran into

-both freshman without much programming knowledge -finding and utilizing Watson API for Visual Recognition -making the database of 30 or so people

Accomplishments that we're proud of

-staying healthy for the most part (reasonable amount of sleep and diet) -learned Swift without any prior knowledge -Watson APIs are notably difficult to work with -only had 2 people on the team