MuhammadIbrahim105/Real-Estate-Agent
Autonomous AI sales pipeline for real estate — ingests leads from Google Sheets, scrapes live listings into a RAG vector store, manages multi-turn WhatsApp conversations via LangChain, and flags high-intent buyers for human handoff. 200+ leads/month, <10s response time.
SUMMARY AI summary by gpt-5-mini
An autonomous AI pipeline for real-estate lead engagement that ingests leads, gathers property context, conducts personalized multi-turn conversations, detects high-intent signals and routes flagged leads to humans. Intended for real-estate teams, brokers, and ops/marketing teams who need fast, scalable lead qualification and outreach. Key features: - Lead ingestion from Google Sheets (polls every 30s) and automatic queueing - Property scraping (Zameen, Booking, Facebook Ads) → embeddings stored in Deep Lake (RAG) - Conversation engine: LangChain + GPT-4 with per-client memory for full multi-turn dialogue - Intent detection (LLM + Firebase) flags payment/financial language and logs/alerts agents - React analytics dashboard with real-time funnel metrics - Fast response (<10s) and scalable (200+ qualified leads/month)
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Owner
Electrical Engineer & Machine Learning Specialist | ML model development, signal processing, embedded systems, and LLM integration | Built scalable AI solutions
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:14 |
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