プロジェクト概要
対象市場
Creators, studios, marketers, entrepreneurs and digital-production teams that need an integrated workflow for AI-assisted script, character, voice, image, video, editing, publishing and project management.
技術上の担当範囲
Full-stack creator-platform architecture; AI generation orchestration; asynchronous job processing; media storage; authentication; billing; project/editor workflows; social publishing; deployment and observability engineering.
課題・機会
Modern AI content production often requires separate tools for scripting, characters, speech, images, video generation, editing, project storage and publishing. Pro Creator Pro is designed to consolidate those stages into one production environment with repeatable project workflows.
目標
- Unify AI-assisted script, image, voice and video production
- Support both automated and manual creator workflows
- Provide reusable characters and project libraries
- Process long-running generation tasks asynchronously
- Track credits, subscriptions and transaction activity
- Support publishing and social distribution workflows
- Provide production deployment, monitoring and storage architecture
課題・制約
- AI media generation jobs can be long-running and provider-dependent
- Large media artifacts require scalable storage outside the application process
- Creator workflows need recoverable project state across multiple production stages
- Billing and credits must remain synchronized with expensive generation workloads
- Multiple AI providers and generation modes require controlled routing and fallback behaviour
技術的な取り組み
The repository separates a Next.js creator frontend from a FastAPI service layer and uses Celery plus Redis for asynchronous generation tasks. PostgreSQL/SQLModel manage persistent state, S3-compatible storage handles media assets, provider-routing services coordinate AI generation, and Docker/Caddy deployment assets support production hosting.
システム構成
構成の説明
Modular AI production system with a Next.js creator UI, FastAPI backend, asynchronous Celery workers, Redis queueing, PostgreSQL state and S3-compatible media storage.
フロントエンド
Next.js 16.1.6, React 19, TypeScript and Tailwind CSS
バックエンド
FastAPI, Uvicorn, Pydantic, SQLModel and provider-routing services
データベース
PostgreSQL with Alembic migrations
インフラ
Docker Compose, Caddy, Redis, Celery and optional Prometheus/Grafana observability
サービス
Script, image, voice, video, lip-sync, workflow, billing, social publishing, analytics and project services
連携
xAI/Grok generation path, Stripe billing, S3-compatible object storage and optional external AI/media providers
技術上の判断
Use asynchronous Celery workers for generation workloads
理由: AI voice, image and video generation can exceed normal request-response timing.
技術上の利点: Long-running media production is separated from interactive API requests.
Use storage abstraction for local or S3-compatible backends
理由: Generated media artifacts can be large and deployment environments differ.
技術上の利点: Media persistence can move between local development and production object storage.
Separate creator frontend and FastAPI backend
理由: Interactive UI workflows and media-production orchestration have different runtime requirements.
技術上の利点: Frontend and generation services can scale and evolve independently.
Use provider-routing services
理由: Generation features depend on multiple AI/media capabilities and provider configurations.
技術上の利点: Provider selection and fallback logic remain centralized rather than scattered across UI code.
主な機能
- AI-assisted Auto-Create workflow
- Manual creation workflow
- Integrated video/project editor
- Script generation
- AI image generation
- AI voice generation
- AI video generation
- Reusable character builder and library
- Lip-sync artifact generation
- Project archive and library
- Playback and download workflows
- Publishing and social publishing
- Subscription, credits and transaction records
- User feedback and creator community features
- Tenant-aware authentication and authorization
- Asynchronous Celery/Redis job processing
- Desktop Electron shell
- Android companion application
- Production observability assets
課題・対応・成果
Long-running AI generation can block ordinary web requests.
対応: Generation work is delegated to Celery workers through Redis.
確認済みの成果: The architecture separates interactive requests from asynchronous production processing.
Generated video, image and audio files can exceed practical application-server storage limits.
対応: The storage layer supports S3-compatible object storage and MinIO for local environments.
確認済みの成果: Media persistence is decoupled from the web application filesystem.
A creator may need both automated production and granular manual control.
対応: The product implements Auto-Create, Manual-Create and editor-oriented workflows.
確認済みの成果: Different production styles can operate within the same project environment.
安全性・信頼性
- JWT-based authentication primitives
- Password hashing with bcrypt/passlib
- Tenant-aware request architecture
- Rate-limit controls in production configuration
- Production secrets support through environment/file/AWS secret sources
- Prometheus metrics and optional Grafana/Alertmanager deployment assets
性能・拡張性
Celery workers and Redis queues separate long-running generation jobs from the interactive API. The production deployment supports independent frontend, backend and worker services, PostgreSQL persistence and external object storage.
利用体験
The creator UI exposes automated and manual production paths, project/editor workflows, character creation, playback, downloads, publishing, billing and transaction controls from one workspace.
技術構成
AI
xAI / Grok · Provider routing
Data
PostgreSQL · S3-compatible object storage · MinIO
Async
Celery · Redis
Media
FFmpeg · Pillow · Rhubarb-compatible lip sync
Backend
FastAPI · Uvicorn · Pydantic · SQLModel · Alembic
Frontend
Next.js 16.1.6 · React 19 · TypeScript 5.4.5 · Tailwind CSS 3.4.10
Deployment
Docker Compose · Caddy · Prometheus/Grafana assets
Security and billing
JWT · bcrypt · Stripe
現在の状況
Active development — repository implementation available
技術的な知見
A production-oriented AI media platform needs more than model calls. Durable project state, job orchestration, storage, billing, provider routing and recovery paths are essential parts of the product architecture.
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