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.

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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.

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AI Property Document Intelligence AI-powered document intelligence system designed for property management teams that need to quickly understand and search property documents such as leases and rental agreements. The system allows a user to upload a PDF, extracts and organizes important information, and provides an AI-powered question-and-answer interface for finding information within the document. Workflow: PDF upload → Document processing → Information extraction → AI retrieval → Answer with source/page reference Key features: Property document upload PDF text extraction Structured information extraction AI-powered document questions Source and page references Document and question history Property-management focused dashboard Built with: Python, Flask, SQLite, HTML, CSS, JavaScript, PDF processing, and AI/RAG techniques. This project was built as a portfolio demonstration of AI-powered document intelligence for business operations. #Artificial Intelligence #Automation #Machine Learning

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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.

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Babar Durrani

AI Automation & RAG Developer