AI-Powered Music System

A smart music playback system for businesses that adapts playlists to real-time customer flow and atmosphere.

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The Challenge

Develop an intelligent music engine for business environments, designed to autonomously select and mix music based on live, real-world conditions. The system needed to go far beyond standard playlists or mood presets. It had to sense the space, interpret human dynamics like crowd activity and pacing, and generate a real-time soundtrack that evolves accordingly. The expectation was not just relevancy but precision: tracks needed to align in tempo, harmonics, and flow, with transitions that feel natural and intentional, like a skilled DJ behind the booth.

Overview

Industry
Retail / AI
Duration
4.5 months
Total project hours
980
Technology
Electron, JavaScript, Web Audio API, Canvas API, TensorFlow
Integrations
OpenAI, Local camera systems

The Solution

We created a desktop application built with Electron and the Web Audio API, centered around a custom-trained visual analysis model that interprets ambient footage from a camera feed. This model processes real-time snapshots to identify crowd patterns, energy levels, and context cues, then maps these insights to musical selections that suit the moment.

On the audio side, the engine applies advanced DJ techniques to ensure a seamless experience. It auto-detects BPM to align rhythm across tracks, organizes the library by musical key to enable harmonic mixing, and uses dynamic crossfades to preserve flow. Every track transition is calculated to enhance continuity and emotional arc, allowing the system to build tension, release, and atmosphere just like a human performer.

The result is not just automated music. It is intelligent, responsive audio curation built specifically for commercial spaces that demand both energy and elegance.