AI-powered tenant communication and maintenance follow-up system designed to help property management teams automate repetitive communication around maintenance requests.

The system takes a tenant maintenance request, analyzes the issue, creates a structured work order, generates a professional tenant update, tracks follow-ups, and prepares completion messages as the maintenance workflow progresses.

Workflow: Tenant request → AI analysis → Work order → Tenant update → Follow-up → Resolution

Key features:

AI maintenance request analysis

Automatic issue categorization and prioritization

Work-order workflow management

AI-generated tenant communication

Editable tenant messages

Maintenance follow-up queue

Follow-up status detection

Automatic communication drafts when status changes

Completion notifications

Database-driven workflow

The system uses stored property and work-order information to keep generated communication grounded in the actual maintenance records.

Built with: Python, Flask, SQLite, HTML, CSS, JavaScript, and AI-assisted workflow automation.

This project was built as a portfolio demonstration of AI-powered maintenance communication and workflow automation for property management operations.