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AI Property Maintenance Automation
AI-powered property maintenance automation designed to streamline how property management teams handle tenant maintenance requests.
The system takes a maintenance request, analyzes the issue, determines its priority and category, recommends a suitable vendor, and automatically creates a structured work order.
Workflow:
Tenant request → AI analysis → Priority & category → Vendor matching → Work order
Built with: Python, Flask, SQLite, HTML, CSS, JavaScript, and AI-assisted request classification.
This project was built as a portfolio demonstration of AI automation for property management operations.
Turning a tenant request into a ready work order in seconds removes the manual triage step.
Exactly. The idea was to automate the repetitive part of the maintenance process — instead of a property manager manually reading each request, deciding how urgent it is, finding the right vendor, and creating a work order, the system handles those steps automatically. It lets...
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ECHO — The Interface Is Alive
My entry for the @rive_app
I built a psychological-horror experience where the interface itself becomes the antagonist
You weren't investigating ECHO.
ECHO was investigating you.
Play it: https://echotheinterfaceisalive.netlify.app
#rivehalloweenchallenge
The interface investigating you is a strong turn on the haunted UI idea. What does ECHO track about the user to decide how it reacts?
