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A FastAPI powered - Video Transcoding pipeline with AI Driven chapter and sentiment detections.

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Phase 0 — Project Roadmap (Python version)

We go in this order:

Core FastAPI skeleton

Async architecture + dependency injection best practices

Local file upload + validation + streaming

Job system (in-memory first → Redis + Dramatiq)

FFmpeg workers (multi-processing vs multi-threading)

Worker orchestration, retries, dead-letter queues

Distributed event updates + dashboard (WebSockets)

Observability

AWS integration (S3, SQS, ECS/EKS, IAM)

Production deployment + CI/CD

FastAPI (API Service) | | Enqueue Job → Redis (Broker) v Redis Queue | v Dramatiq Worker Processes | | Runs ffmpeg, metadata extraction, chunk processing v JobStore / DB (Progress updates)

Clients → poll API or subscribe via WebSockets for job status

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A FastAPI powered - Video Transcoding pipeline with AI Driven chapter and sentiment detections.

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