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Artificial Intelligence
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Artificial Intelligence · Major Project
Emotion-Based Music Recommender
Reads your expression from the webcam and suggests a matching playlist
2-3 weeks build
Overview
A CNN trained on the public FER-2013 dataset classifies facial expressions from a webcam frame, and the detected mood maps to playlists fetched through the official Spotify Web API. Faces are located with OpenCV, frames are processed in memory and never stored, and the user can always override the detected mood.
What makes it stand up
- 01CNN expression classifier trained on FER-2013
- 02OpenCV face detection before classification
- 03Mood-to-playlist mapping through the official Spotify Web API
- 04Frames processed in memory and never saved to disk
- 05Manual mood override when the model gets it wrong
Module breakdown
- 01
Emotion model
Keras CNN with augmentation and class weighting.
- 02
Face capture
Webcam frames cropped with an OpenCV detector.
- 03
Mood mapping
Rules linking emotions to audio features and genres.
- 04
Music API
Spotify Web API client for playlists and tracks.
- 05
Player UI
React page showing the mood, playlist and override.
After this, you will be able to
- Explain how a CNN learns facial expression features
- Defend your privacy choices around webcam frames
- Demo mood detection and a playlist change live
Technology stack
- Python
- TensorFlow
- OpenCV
- Flask
- React
- Level
- Major Project
- Domain
- Artificial Intelligence
- Build time
- 2-3 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support