Zedoman/Dynamic_Emotion-Based_Playlist_Generator
Avradeep Nayak
Sample Python/Flask Application
A Python-based application that dynamically generates playlists based on the user's emotional state and inputs, using APIs and machine learning techniques.
🚀 Getting Started
Open Using Daytona Daytona My_Project
To quickly start working on this project, use Daytona to set up a standardized development environment.
Install Daytona: Follow the Daytona installation guide to install Daytona on your machine: Daytona Installation Guide
Create the Workspace:
This command will set up the workspace with all necessary files and configurations.
Set up Dependencies:
Navigate to the project directory:
Start the Application::
To start the application, use the following command:
✨ Features
Personalized Playlist Generation:
Users can input their favorite artists, preferred genre, and language to generate a playlist tailored to their tastes.
Emotion-Based Playlist:
Based on the user's inputs, TuneTailor can suggest songs that align with their emotional preferences, ensuring the playlist matches their mood.
Customizable Playlist Size:
Users can specify how many songs they want in their playlist, making it easy to create short or long playlists (up to 60 songs).
Genre and Language Preferences:
Users can narrow down their playlist to specific genres (e.g., Hip-Hop, Jazz) and languages (e.g., English, Spanish), making the playlist more suited to their cultural or emotional context.
User-Centered Customization:
The app is built around users’ preferences, offering them the ability to fine-tune their playlist with precise details like the number of songs and specific artist genres.
Tech Stack
Emotion Detection: Python, OpenCV, DeepFace
Backend: Node.js with Express
Music Data: Spotify API for track metadata and playback
Benchmarking: Daytona
Frontend: React with Tailwind CSS
Backend Framework: Python (Flask or similar framework)
Machine Learning: scikit-learn, TensorFlow/Keras (possibly)
External APIs: Spotify, Last.fm, or similar music services (via Spotipy)
Development Environment: Daytona (for setting up a standardized environment)
Containerization: Docker
Data Handling: pandas, numpy
Video
Screen.Recording.2024-12-11.at.23.47.16.mov
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Posted Mar 20, 2025
A Python-based application that dynamically generates playlists based on the user's emotional state and inputs. Developed for the Daytona Organization.
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Nov 20, 2024 - Dec 5, 2024
