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)
DETECTED Detected AI stack
AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.
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Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 65 / 100
Position among AI repos in the same language
We track 12,475 Python repos, of which 9,636 score 40 or above on AI relevance. 2,088 have more stars than this one (top 16.7%), and 3,432 score higher (top 27.5%).
Owner
Full Stack AI Engineer | LLMs • RAG • Multi-Agent Systems • FastAPI • Production AI | Building end-to-end AI products
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-08-17 16:17 |
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