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Local LLM for Property Management

Screenshot of app

🚀 What This Is:
This is a local LLM that answers renter questions based on the data it's given. No cloud dependencies, no waiting on third-party APIs—just instant answers from a custom-trained model.

🎯 The Problem It Solves:
Property managers waste hours answering the same questions. Renters get stuck digging through pages of rules, instructions, and documents. This fixes that.

  • More Time for Property Managers → Focus on high-leverage tasks.
  • Better User Experience → Immediate answers mean fewer frustrated renters.
  • Higher Conversion Rates → Prospective tenants get clarity fast.

📹 Demo Video:
https://www.loom.com/share/6d36f99309344625be19d88f6c898282?sid=be77cfd9-5c1e-4aeb-95d7-d60c8ce4bb36


Getting Started

Requirements:

  • Python 3.8+
  • Pipenv or virtualenv (recommended)
  • Basic familiarity with running Python scripts

Installation:

  1. Clone the repo:

    git clone https://github.com/pkafei/Your-Smart-Rental-Assistant
    cd Your-Smart-Rental-Assistant
  2. Set up the environment:

    pip install -r requirements.txt
  3. Run the app:

    streamlit run rental-application.py

How It Works:

  • Upload property-related docs (leases, FAQs, rules).
  • The model trains on that data and generates answers.
  • Run it locally—no external calls, no extra costs.

About

Transforming the rental experience with AI and local LLM: faster answers, and better conversions

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