https://github.com/ishinzoo/songrecommendation

This project is a machine learning-based system that recommends songs based on the user's detected emotions. The application uses facial expression recognition to determine the user's current emotional state and suggests songs that align with that emotion. This system can be particularly useful for personalized music streaming services, helping use
https://github.com/ishinzoo/songrecommendation

machine-learning mediapipe numpy opencv os python tenserflow

Last synced: 7 days ago
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This project is a machine learning-based system that recommends songs based on the user's detected emotions. The application uses facial expression recognition to determine the user's current emotional state and suggests songs that align with that emotion. This system can be particularly useful for personalized music streaming services, helping use

• Host: GitHub
• URL: https://github.com/ishinzoo/songrecommendation
• Owner: iShinzoo
• Created: 2024-09-11T15:33:42.000Z (22 days ago)
• Default Branch: master
• Last Pushed: 2024-09-11T15:56:25.000Z (22 days ago)
• Last Synced: 2024-09-26T04:03:20.676Z (7 days ago)
• Topics: machine-learning, mediapipe, numpy, opencv, os, python, tenserflow
• Language: Python
• Homepage:
• Size: 3.91 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Emotion-Based Song Recommendation System

## overview

This project is a machine learning-based system that recommends songs based on the user's detected emotions. The application uses facial expression recognition to determine the user's current emotional state and suggests songs that align with that emotion. This system can be particularly useful for personalized music streaming services, helping users find music that matches their mood.

## Features

* `Emotion Detection`: Uses facial expression analysis to detect emotions like happiness, sadness, anger, etc.

* `Song Recommendation`: Suggests songs that correspond to the detected emotion from a curated database.

* `Real-time Processing`: Detects emotions and suggests songs in real-time.

## Tech Stack

[Python](https://www.python.org/doc/):

As the programming language.

## Getting Started

1. Clone the repository:

```

git clone https://github.com/yourusername/SongRecommendation.git

```

2. install python and required library

## Contributing

1. Fork the repository.

2. Create a new branch (git checkout -b feature-branch).

3. Commit your changes (git commit -am 'Add new feature').

4. Push to the branch (git push origin feature-branch).

5. Create a new Pull Request.