Developed an AI-assisted engineering platform that automates the creation of CMMS asset hierarchi...Developed an AI-assisted engineering platform that automates the creation of CMMS asset hierarchi...
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Developed an AI-assisted engineering platform that automates the creation of CMMS asset hierarchies from engineering drawings, P&IDs, equipment lists, and technical documentation.
The platform organizes equipment into structured asset trees, assists with maintenance documentation, supports preventive maintenance planning, and improves engineering productivity by reducing manual data preparation.
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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.
34 tested API endpoints that AI agents can discover and pay for per request in USDC, with no accounts or API keys. It includes a paid MCP server, marketplace listings generated from real outputs, SSRF-safe fetching, and 19 Apify Actors that offer bulk versions of the endpoints.