$ Project.log

Selfit To Sound App

7/15/2025
Aleksander Banjanin Morato
Aleksander Banjanin Morato
Project Creator

$ cat description.md

Selfie to Sound is an AI-powered app that lets users hear what their facial expression sounds like. By analyzing a selfie, the app detects visual and emotional cues—such as mood, expression, and energy—and plays a curated sound that matches the vibe of the photo. Under the hood, the app uses OpenAI’s vector embedding model to convert each facial expression into a high-dimensional vector that captures its emotional fingerprint. These vectors are stored and indexed in Weaviate, an intelligent vector database. When a new selfie is uploaded, the app finds and plays the most relevant sound from a curated audio library—instantly retrieved through vector similarity search. Whether it's a soft smile, intense stare, or joyful laugh, Selfie to Sound creates an intuitive connection between how we look and how that might sound.

$ tech --stack

$ links --show

View on GitHub
Demo Available

$ event --source

AWS AI Hack Day Micro Conference
AWS AI Hack Day Micro Conference
7/15/2025
AWS GenAI Loft, 525 Market St, San Francisco, CA 94105, USA