{"data":{"full_name":"shaadclt/Multi-Agent-Conversation-AutoGen","name":"Multi-Agent-Conversation-AutoGen","description":"This project demonstrates a conversational AI simulation between a high school student and a math tutor using the AutoGen framework and the Groq API (with LLaMA 3 model). The use case focuses on helping students understand quadratic equations through a multi-turn dialogue.","stars":2.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"autogen-framework-implementations","last_pushed_at":"2025-05-11T04:56:07+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":2.0,"adoption_score":2.0,"maturity_score":9.0,"community_score":0.0,"quality_score":13.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T06:50:37.982681+00:00"}}