Entertainment & Media

MusicMatch AI Recommendation Engine

A backend recommendation system that curates personalized playlists based on listening habits and audio analysis.

Case Study Snapshot

Category

Entertainment & Media

Client

Confidential

Team Size

6-8

Budget

$120k+

Duration

9 months

Views

69

Project Overview

We built the "brain" behind a music app. It analyzes audio waveforms to determine tempo and mood, matching tracks to the user's current activity context.

Skills & Technology Stack

Skills

Web Development Machine Learning

Technologies

Python

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