Zoom Auto

B 82 completed
Other
containerized / python · small
63
Files
2,318
LOC
2
Frameworks
4
Languages

Pipeline State

completed
Run ID
#377294
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
33.40
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47446
Member of a group with 1 similar repo(s) — canonical #113362 view group →
Top concepts (2)
Project DescriptionWeb Backend
Same scanner, your repo: https://repobility.com — Repobility

AI Prompt

Create an AI-powered autonomous Zoom meeting participant using Python. I need it to listen to the meeting, understand the context, and respond using a cloned voice. The system should feature real-time Speech-to-Text using faster Whisper, voice cloning TTS via Chatterbox Turbo, and AI response generation using Claude Sonnet. Key functionalities must include a Persona System built from transcripts, Context Management with summarization, and Smart Turn-Taking logic. Ideally, it should expose a live WebSocket dashboard via a FastAPI server and support local fallback using Ollama.
python fastapi ai zoom voice-cloning real-time tts llm websocket audio-processing
Generated by gemma4:latest

Catalog Information

AI-powered autonomous Zoom meeting participant that listens, understands context, and responds with a cloned voice — acting as a realistic stand-in during meetings.

Description

AI-powered autonomous Zoom meeting participant that listens, understands context, and responds with a cloned voice — acting as a realistic stand-in during meetings.

Novelty

3/10

Tags

python fastapi ai zoom voice-cloning real-time tts llm websocket audio-processing

Technologies

anthropic fastapi pydantic

Claude Models

claude-opus-4-6

Quality Score

B
81.7/100
Structure
82
Code Quality
100
Documentation
65
Testing
55
Practices
82
Security
100
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected
  • Containerized deployment (Docker)
  • Properly licensed project

Security & Health

4.1h
Tech Debt (D)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (4)
Repobility · MCP-ready · https://repobility.com
MIT
License
1.4%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
86.5%
markdown
6.7%
toml
4.6%
yaml
2.2%

Frameworks

FastAPI pytest

Concepts (2)

Open methodology · Repobility · https://repobility.com/research/
CategoryNameDescriptionConfidence
Open data scored by Repobility · https://repobility.com
auto_descriptionProject DescriptionAI-powered autonomous Zoom meeting participant that listens, understands context, and responds with a cloned voice — acting as a realistic stand-in during meetings.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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