Python & PDF Structure Expert Needed to Fix & Complete Fraud Detection Logic (Existing Codebase)

Job Description: We are developing a backend tool for scanning PDF documents to instantly detect price tampering and modifications. The application is largely built using Python / FastAPI / PyMuPDF. It currently has a functional foundation, including user authentication, billing, and database setup. The previous developer built the core of the app but did not complete the final logic. We need an expert to step in, review the code, and finalize the detection process. We will provide you with the complete codebase. What You Need to Do: Fine-tune the Detection Logic: The application works to an extent, but it needs to be perfected. You need to "tighten" the logic so that it effectively detects edited documents regardless of which tool was used to create them (both free and paid PDF editors). Fix Missing Alerts: Currently, the system is too lenient. You need to ensure that any tampering—whether it's digital text manipulation or image-based edits—is correctly flagged as a high-severity warning rather than being ignored or logged as informational. Test Against Real-World Examples: We have a set of clean and tampered PDFs that you will use to calibrate the system. The goal is to make the app rock-solid in catching fraud while keeping false alarms at a minimum. Requirements: Advanced Python (FastAPI, PyMuPDF) expertise. Ability to take over existing, clean code and finalize the development. Experience in document analysis and spotting visual or data-based anomalies in PDF files. Direct communication and a focus on meeting deadlines. If you are the right person to take this project over the finish line, start your application with the word "FORENSICS".