
Code-Flow AI is a specialized developer tool created to simplify backend architectural complexity and enhance security standards. Developed by the leadership team at AUREX (supported by PUACP), this platform addresses the challenge developers face in maintaining a mental map of intricate backend routes and middleware logic. Key Functionalities: Architecture Mapping: Seamlessly converts raw Python/FastAPI code into structured, interactive Mermaid.js diagrams. Security Auditing: Automatically identifies "Red Zones"—critical vulnerabilities such as hardcoded credentials, missing auth tokens, and plaintext data flows. Visual Feedback: Uses color-coded nodes (Red for risks, Green for safe zones) to provide instant visual feedback on the system's security health. Persistence: Features a secure user history dashboard powered by Supabase, allowing developers to track and revisit previous audits. By integrating visualization with automated auditing, Code-Flow AI empowers developers to write cleaner, more secure code while reducing the time spent on manual documentation.
10 May 2026

AI Powered Paper Generator is built around a simple idea: students and teachers shouldn’t waste time wrestling with scattered PDFs, unreliable summaries, or exam questions that don’t reflect the actual content they studied. The system takes in real course material,whether it's clean digital PDFs or messy scanned documents and turns them into structured, trustworthy assessments grounded entirely in the source text. Here’s what the system actually does. It starts by extracting and cleaning the text, fixing OCR issues, and splitting everything into meaningful chunks that preserve context. Those chunks are embedded using state-of-the-art models and stored inside a vector database, which acts like the project’s long-term memory. Every question the system generates MCQs, short questions, long questions, quizzes, assignments, and even full exam papers comes strictly from this retrieved memory. No made-up facts. No filler. No hallucinations. The system also studies the material. It performs topic analysis, identifies major themes, detects gaps, and organizes everything into a clear map of what the PDFs actually cover. When it’s time to generate an exam, the built-in Marks Analyzer ensures the paper is logically structured, balanced, and aligned with the user’s mark distribution. If the math doesn’t add up, the system fixes it automatically and shows the final scoring before generating the exam. AI Powered Paper Generator streamlines the entire assessment pipeline from raw materials to exportable PDF, DOCX, or JSON. The goal isn’t just automation, it’s accuracy, clarity, and trust. This is a tool that respects the source material and produces exam content you can rely on.
19 Nov 2025