Welcome to the AI-Powered Mood-Based Music Recommendation System, a captivating project developed using Python and its frameworks. This innovative system aims to offer personalized music recommendations based on the user's current mood, creating an immersive and enjoyable music experience.
The project opens with an engaging audio input asking users to record their mood today, Utilizing the Whisper library, the user's response, is transcribed into text. An advanced AI model trained for emotion classification analyzes this text to precisely identify the user's emotional state.
- Audio Recorder: Engage with an audio recorder that initiates the interaction.
- Speech-to-Text: Whisper library converts spoken responses into text.
- Emotion Classification: AI model accurately classifies user emotions.
- Music Recommendations: Based on emotions, receive tailored song recommendations.
- User-Friendly Interface: Python frameworks create an intuitive web-based UI.
Clone the Repository: git clone https://github.com/adarshadda/Mood-Based-Music-Recommendation-System.git cd Mood-Based-Music-Recommendation-System
Install Dependencies:
pip install -r requirements.txt
Run the Application:
python app.py