SoundScope is an interactive music–analysis tool that blends Spotify-style audio features with machine-learning predictions inside a clean, intuitive Streamlit interface.  

It is designed as both a data-science project and a functional demo application that allows users to explore songs, visualize audio characteristics, and experiment with predictive models.

This repository contains:

- A curated static dataset of well-known tracks and their audio-feature approximations  

- A fully functional Streamlit web app (`app.py`) for interactive exploration  

- A training pipeline for a mood-classification model  

- Exploratory Jupyter notebooks for early milestone development