Python backend service for Google Meet

I will create a scalable Python backend service for Google Meet that reliably handles 20+ conferences simultaneously.
How it will work:
Connection to Google Meet via headless browser (Playwright/Selenium)
Capture and processing of subtitles in real-time with speaker identification
REST API and/or WebSocket for session management and transcript retrieval
Logging and data transmission without delays
Automatic recovery from connection interruptions
Why this is beneficial for you:
The service is ready for scaling — you can connect even a hundred meetings
… The architecture is optimized for high load and fault tolerance
Simple and clear API — integration without unnecessary time costs
Complete documentation and support after project delivery
What you will receive:
A ready-to-use backend, tested in real meetings
Clearly structured code that is easy to extend
Flexibility in configuration for your tasks

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Hello! I made a similar service: headless bot on Playwright + asyncio, which connected to Google Meet, captured subtitles, and streamed them via WebSocket to Kafka/Redis Stream, with a REST admin panel on FastAPI. I propose the architecture: FastAPI for API/WebSocket, Playwright (Chromium headless) with isolated contexts per session, management through asyncio/uvloop, queues for log/transcript streaming, scaling via Supervisor/K8s; authentication, account rotation, and resistance to CAPTCHAs. I am ready to take on the project and show a working prototype; I do not collaborate with Russian companies, I prefer Ukrainian projects. Send me a private message — we will discuss the details.

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Hello, I have reviewed your task and would like to undertake its implementation. I have experience working with all the technologies you listed above. I look forward to collaborating.

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Hello! I have reviewed your project description — the task looks very interesting and technically rich. I already have experience implementing similar services, in particular:

Working with headless browsers (mainly Playwright, including in headless mode with Google Meet authorization)

Capturing DOM elements in real-time (including subtitles, chats, reactions)

Asynchronous session processing, scaling, parallel launching of multiple browser instances

Implementing REST API / WebSocket for stream management
…
Tasks of this type have already been encountered — I have developed templates for authorization, subtitle capturing, and communication organization with the client side.

🔧 The stack I work with:

Python 3.10+

Playwright (including headless mode with proxy support)

FastAPI / Flask for REST/WebSocket

Asyncio / multiprocessing for parallel execution

Docker, logging, monitoring, scaling

📌 Ready to undertake the MVP implementation, discuss architecture, exchange ideas, and start collaboration. If needed, I can suggest expanding the team on the backend or infrastructure side.

Please write in private messages — I will gladly discuss the details.

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Good afternoon, I am interested in your interesting project, I can do your project without any problems

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