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Video Processing and Transcription Platform
About the Project
A production-scale pipeline for collecting videos, processing media files, generating transcripts, and building a structured archive for analytics and downstream machine learning work.
Key Features
- High-Volume Collection: A distributed scraping system with proxy rotation was used to gather large volumes of video data reliably.
- Asynchronous Processing: The pipeline processed videos in parallel with FastAPI services and FFmpeg-based media workflows.
- AI Transcription and Translation: Speech-to-text and translation services were integrated to enrich raw video content with searchable text data.
- Cloud Infrastructure: Google Cloud services handled storage and deployment for large-scale workloads.
- ETL Pipelines: Structured ETL stages preserved metadata and prepared the dataset for analytics and ML use.
Technologies
Backend
Cloud & Infrastructure
Data Engineering
AI Services
Results
- 1M+ videos downloaded, processed, and transcribed
- 20K+ videos handled per day at stable throughput
- Fault-tolerant archival storage for large media volumes
- Clean structured data prepared for ML and analytics workloads