An AI-powered operations assistant designed to help property management teams quickly find answers from their property, maintenance, and work-order data.

Instead of manually searching through spreadsheets and work-order records, a property manager can ask questions in natural language and get structured answers based on the underlying operational data.

The system can identify unresolved maintenance requests, high-priority issues, properties with the most open work orders, and work orders that have been open the longest. Relevant supporting records are displayed alongside each answer.

Workflow: Property & work-order data → Natural-language question → Data retrieval → AI interpretation → Answer + supporting records

Key features:

AI property operations assistant

Natural-language business data queries

Maintenance and work-order analysis

Open issue identification

High-priority issue detection

Property-level operations analysis

Supporting records for AI answers

Structured operational database

Local/offline fallback

Built with: Python, Flask, SQLite, HTML, CSS, JavaScript, SQL-based data retrieval, and AI-assisted question interpretation.

This project demonstrates how AI can be applied to automate information retrieval and support day-to-day property management operations.