Scott – Portfolio

Music Recommendation App

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Overview

Musix is an intelligent music recommendation platform designed to help users discover their next favorite songs effortlessly. Built using React.js for a seamless frontend experience, Express.js and MongoDB for efficient backend and data storage, and Flask for a powerful recommendation engine, Musix delivers highly personalized music suggestions based on user preferences, listening history, and trending tracks.

Features

Personalized Recommendations – Powered by Flask-based machine learning models, Musix suggests songs tailored to each user’s taste.

User-Friendly Interface – A sleek React.js frontend provides an intuitive and engaging music discovery experience.

Search & Explore – Find music by genre, artist, mood, or trending playlists.

ABOUT

Tech Stack

Frontend: React.js (with Tailwind CSS for UI styling)

Backend: Express.js + MongoDB (for data storage and API handling)

Recommendation Engine: Flask (powered by AI/ML for music suggestions)

Spotify API Integration – Search and access Spotify’s extensive music catalog, including artists, albums, and playlists.

How It Works

  1. User Interaction: Users listen, like, and rate songs, which are stored in MongoDB.
  2. Data Processing: The Flask-based recommendation engine analyzes listening patterns.
  3. AI-Powered Suggestions: Personalized recommendations are generated and displayed in real-time.

Year

2024

Tech

React + Flask

Services

Website Development

Project

Personal

Why Choose Musix?

AI + Spotify Integration – Combining machine learning with Spotify’s music database for unmatched accuracy.
Unlimited Music Access – Search for millions of songs, artists, and playlists directly from Spotify.
Sleek & Modern UI – Enjoy a smooth cross-platform experience on both desktop and mobile.
Ever-Improving Recommendations – The system learns over time to deliver even better suggestions.

Get Started Today!

Discover music that matches your mood and taste with Musix. Sign up, explore, and let AI + Spotify find your next favorite track!