Day Progress – Building MortgageMind AI
Today was one of those development days where fixing the foundation unlocked several new capabilities.
Over the past few hours, I focused on strengthening the document intelligence workflow inside MortgageMind AI, an AI-powered mortgage platform I’m building using FastAPI, Next.js, PostgreSQL, OCR, and LLMs.
✅ Progress Today
🔹 Fixed JWT authentication issues affecting the Loan Workspace.
🔹 Implemented a secure document download endpoint with authorization.
🔹 Integrated document viewing directly from the application.
🔹 Connected OCR output with AI document analysis.
🔹 Built a structured AI analysis viewer displaying:
- Document type
- AI confidence score
- Executive summary
- Structured JSON extraction
🔹 Added an interactive MortgageMind AI Chat where users can ask questions about an uploaded mortgage document.
🔹 Improved the overall UI and modularized the frontend using reusable React components.
Current Workflow
📄 Upload Mortgage Document
⬇️
🔍 OCR Text Extraction
⬇️
🤖 AI Document Analysis
⬇️
📊 Structured Data Extraction
⬇️
💬 Interactive AI Q&A
The application is now capable of understanding mortgage documents instead of simply storing PDFs.
Tech Stack
- FastAPI
- Next.js 16
- React
- TypeScript
- PostgreSQL
- SQLAlchemy
- JWT Authentication
- OCR Pipeline
- AI-powered Document Intelligence
What’s Next
The next milestone is Loan AI.
Instead of analyzing a single document, the AI will reason across the entire loan package—including the 1003, credit report, bank statements, W-2s, pay stubs, appraisal, and disclosures—to answer questions like:
- Does this borrower qualify?
- Are there underwriting risks?
- Are there missing documents?
- What conditions should be issued?
The goal is to build an AI-powered mortgage assistant that integrates seamlessly with platforms like ICE Mortgage Technology Encompass, helping loan officers, processors, underwriters, and quality control teams work more efficiently.
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