Claire is an app I worked on for the Georgia Tech appathon 2019. We had 24 hours to create a mobile application of our choosing. Our team placed second overall winning $300 worth of prizes.
Today’s mobile dating apps are rooted in superficiality. We believe that what’s on the inside counts most, which is why we were inspired to create Claire – the world’s first non-superficial dating app.
Claire provides users with the opportunity to read a profile bio and swipe for “like” or “dislike.” If there’s a match, both parties will have the opportunity to chat. At this time, each party will receive a blurred photo of his/her counter-party. We used sentiment analysis to determine the depth and interest of the conversation. Increased sentiment will decrease the blurriness of the photo (and vice versa), and eventually after getting to know what the other individual is like on the inside, then the photo reveals what the person looks like on the outside.
We built the app using React Native. On the backend we used Firebase for our database and used GCP functions to run our AI sentiment analysis algorithm. I was responsible for implementing the GCP function which called Google’s natural language API to get the overall sentiment of the conversation. Additionally, I worked on the swiping UI and the profile screen for the app.