About Our Project

Creating Music Based on Facial Expressions

Project Introduction

Imagine if every face could inspire a unique piece of music, directly derived from the immediate emotions reflected in that face. This project enables users to upload an image of their face, and automatically generate music that aligns with their emotional state.

Project Challenge

In this project, we have developed an AI-based system that analyzes and identifies the dominant emotions of a face from an image, and then generates music that matches that emotion. Utilizing facial emotion recognition technology and advanced music generation techniques, the system offers a unique, personalized music experience.

How It Works

Emotion Detection:

• Using the DeepFace library, the system identifies emotions such as happiness, sadness, or anger from the uploaded image.

Music Generation and Playback:

• After identifying the emotion, the system produces music that corresponds to it and plays it for the user. This music can be selected from pre-existing libraries or generated uniquely.

Key Features

• Mapping Emotions to Music: Emotions are linked to specific folders containing pre-prepared music pieces to ensure the music experience aligns with the user’s feelings.
• User-Friendly Interface: Users can upload their image through a simple form on the website and receive emotion analysis results along with corresponding music.
• Advanced API: API endpoints are designed for performing various operations like image upload, music selection, and downloading produced files.