Tejas-TA/deep-agent-real-estate: Bridging Generative AI and Classical ML. A production-grade multi-agent system using ReAct orchestration, MCP, A2A, and LMMs for hyper-local property valuation with Evals.
Language: Jupyter Notebook
Topics: a2a-protocol, agentic-rag, fastapi, fine-tuning-llm, gradio-python-llm, langgraph-agents, langsmith, mcp-server, multi-agent-systems, multimodal, open-street-maps, rag-pipeline, real-estate-data, streamlit-webapp, xgboost-regression
Category: agentic-ai-frameworks