Face Detection Music Player

Introduction

Welcome to the Face Detection Music Player project! This application leverages facial recognition technology to detect user emotions and play music that matches their mood. Developed as part of our Bachelor of Computer Applications (BCA) curriculum, this project showcases our skills in integrating machine learning with mobile application development.

Features

• Emotion Detection: Captures and analyzes facial expressions to determine the user’s current emotion.
• Mood-Based Music Playback: Plays music that corresponds to the detected emotion, enhancing the user's listening experience.
• User-Friendly Interface: Simplified and intuitive user interface designed for smooth navigation and interaction.

Technologies Used

• Frontend: JavaScript, CSS
• Backend: Python
• Mobile Development: Android Studio, Java
• Database: SQLite
• Tools: MS Office for documentation and presentations

Installation

To set up and run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/face-detection-music-player.git

2. Open the project in Android Studio.
3. Set up the required SDKs and dependencies.
4. Run the project on an emulator or a physical device.

Usage

1. Login: Users can log in with their credentials.
2. Emotion Detection: The app uses the device’s camera to detect the user’s facial expressions.
3. Music Playback: Based on the detected emotion, the app plays a corresponding playlist.

Screenshots

music arena screen

Emotion Detection

Music Playback

Contributors

• Heenaba Rana
• Jay Karia