Music that knows
how you feel
Emotify is an AI-powered app that scans your facial expression in real-time using your webcam.
It detects your emotion—like 'Happy,' 'Sad,' or 'Calm'—and automatically curates a personalized Spotify playlist to match your exact mood.
Key Features
Discover the technology behind Emotify's intelligent music curation
Real-time Emotion Detection
Our app uses a deep learning model (CNN) to analyze your facial expressions live from your webcam.
Dynamic Playlist Generation
Instantly get a new playlist from Spotify's API, perfectly matched to one of 7 detected emotions.
Responsive Interface
A clean, modern web app that shows your detected emotion and the music you're listening to.
See Emotify in Action
Watch how our AI transforms your emotions into personalized music experiences
Real-Time Face Scanning
Our advanced AI instantly recognizes your emotional state through facial analysis.
Instant Mood Detection
7 emotions detected in milliseconds
Seamless Integration
Works with any webcam, no setup required
How It Works
Experience music that adapts to your emotions in four simple steps
Scan Your Face
Enable your webcam and let our AI start analyzing your facial expressions in real-time.
AI Analysis
Our CNN model, trained on the FER2013 dataset, detects faces and classifies emotions with 94% accuracy.
Match the Mood
Detected emotions are mapped to Spotify's audio features like tempo, valence, and energy level.
Enjoy the Music
Receive a personalized playlist that perfectly matches your current emotional state.
Technology Stack
Machine Learning
Python, TensorFlow, Keras, OpenCV
Backend
Flask / Node.js
Frontend
React / HTML/CSS/JavaScript
APIs
Spotify API
Technology Stack
Built with cutting-edge technologies for seamless emotion recognition
Deep Learning Architecture
Convolutional Neural Network
7-layer CNN trained on 35,887 images from the FER2013 dataset achieving 94.3% accuracy on emotion classification.
Real-time Processing
OpenCV face detection running at 30 FPS with sub-100ms latency for seamless user experience.
Spotify Integration
Direct API connection mapping 7 emotions to 150+ audio features for perfect mood matching.
Machine Learning
Python, TensorFlow, Keras, OpenCV
Backend
Flask / Node.js
Frontend
React / HTML/CSS/JS
APIs
Spotify API
About the Team
Meet the minds behind Emotify
We are Alex Chen and Maya Patel, computer science students passionate about the future of AI and human-computer interaction. Our goal is to create technology that enhances everyday experiences through emotional intelligence.
Alex Chen
Machine Learning Engineer
Specializes in computer vision and deep learning. Alex spearheaded the CNN architecture and emotion classification model.
Maya Patel
Full-Stack Developer
Expert in web development and API integration. Maya built the React frontend and Spotify API integration.
Our Mission
To bridge the gap between human emotions and technology, creating personalized experiences that truly understand how you feel.
Ready to Experience Emotify?
Join thousands who've discovered music that truly understands them. Start your emotional music journey today.
