Moodify is a mood based music system that suggests the playlist according to your mood. The system typically uses machine learning algorithms and artificial intelligence to recognize particular mood. Moodify can select a mood or emotion they are feeling, such as happy, sad, relaxed, angry or energized, and the system will recommend playlists that match that mood.
Overall, moodify offer a personalized and intuitive way to discover new music and enhance the listening experience based on the listener's current emotional state.
-
Traditional music players often require users to manually search for and select songs, which can be time-consuming and frustrating.
-
Users may not know what music they want to listen to at a given time, especially if they are experiencing strong emotions.
- Moodify aims to solve this problem by using algorithms to analyze a user's emotional state and suggest appropriate music tracks. For example, if a user is feeling happy or energetic, the music player may suggest more upbeat and lively songs.
AI & ML
Client: React, Bootstrap, Netlify,
Server: Flask, OpenCV, DeepFace, Render
Others Git, Github, Figma
Home Page:
Image Capture Page:
Mood Detection:
Suggested Playlist:
Frontend https://moodify-pro.netlify.app/
Backend https://emotion-detection-darm.onrender.com




