Vibe Music Project 🎵🎨

A music recommendation system that suggests songs based on the vibe of an image.
It uses VGG16 for image feature extraction and Spotify API to fetch songs.

Features

• Extracts image features using VGG16 pretrained model.
• Finds nearest images in the dataset using K-Nearest Neighbors (KNN).
• Determines the dominant vibe of the uploaded image.
• Fetches Spotify tracks matching the detected vibe.
• Supports vibes like calm, energetic, sad, chill, and romantic.

Setup Instructions

1. Clone the repository

git clone https://github.com/your-username/vibe-music-project.git

2. Install dependencies

pip install tensorflow spotipy python-dotenv scikit-learn

3. Add your dataset

Place images in /dataset folder.

Organize images by vibe:

dataset/ │ ├─ calm/ ├─ energetic/ ├─ sad/ ├─ chill/ └─ romantic/

4. Run the notebook in Colab.