AI Music Video Generation Platform

Cognitive / Generative AI

AI Music Video Generation Platform

Solo-built AI music video generation platform that orchestrates external music/video providers, FFmpeg post-processing (composition/subtitles/overlays), and YouTube upload through Celery-based async workflows.

Role
Solo builder · architecture, implementation, and operational tooling
Period
2025.12 - Present
Context
Personal Project
01 / Executive summary

Solo-built AI music video generation platform that orchestrates external music/video providers, FFmpeg post-processing (composition/subtitles/overlays), and YouTube upload through Celery-based async workflows.

DECISION / ASystem challenge

What made the system difficult.

Long-running external generation jobs required robust orchestration, progress tracking, and retry handling without blocking UX.

DECISION / BEngineering response

How boundaries and flows answered it.

Built domain-scoped FastAPI routers (projects/songs/videos/youtube/workflows) and a Celery app with retry/time-limit policies. Implemented provider-specific generation tasks, an FFmpeg-based editing service, and a YouTube upload service integrated into the async pipeline with DB-backed status tracking.

02 / System path

The path of responsibility through the system.

01

Music Generator

Audio Generation

Responsibilities

  • Lyrics/style-based generation
  • Auto-retry mechanism
  • Status tracking
02

Video Pipeline

Video Generation & Editing

Responsibilities

  • Long-running task management
  • Audio-video sync
  • Effects pipeline
03 / Technology field
01Python02FastAPI03PostgreSQL04Celery05Redis06React07TypeScript08FFmpeg09MoviePy
04 / Detailed record

Overview

  • Solo-built music video generation platform automating generation → post-processing → upload workflows.

Purpose & User Flow

Purpose

  • Productize a production pipeline from an idea to a publishable artifact.

User Flow

  • Create a project → generate music → generate video → compose/edit (subtitles/overlays) → upload, tracked as step-level statuses.

Key Components

  • FastAPI API for job creation/status tracking
  • Celery + Redis for long-running generation/post-processing/upload tasks
  • FFmpeg/MoviePy for audio/video composition and subtitle/post-processing

Operational Focus

  • Failure-first design: status tracking, retries, and idempotency safeguards.
05 / Factual evidence
AI Music Video Generation Platform project evidence
ACTUAL PROJECT ASSET / NOT GENERATED