Raqeeba Yasin@Raqeeba

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.

SkillScore Identity System is built to give companies, HR teams, and departments a reliable way to verify people without the usual guesswork. It goes beyond basic checks. The system reviews documents, validates personal details, and examines every project a user submits. It also runs structured assessments that measure real-world skills instead of surface-level knowledge. Each stage collects signals about the user’s actual capability, their consistency, and the quality of their work. All this data is processed and turned into a detailed scorecard that shows a user’s strengths, weaknesses, performance history, and overall trust rating. This scorecard becomes a transparent identity that reflects skill, experience, and credibility. Organizations can use this trusted profile to make faster and more confident decisions. It helps employers filter out inflated claims, reduce hiring risks, and shortlist candidates who have proven ability. It also gives professionals a fair way to showcase their talent, even if they don’t have traditional backgrounds or big-name credentials. At its core, SkillScore Identity System aims to build a world where opportunities are based on what people can actually do, not what they say they can do. It provides a clear, unbiased, and verified identity for every user—backed by evidence, tested performance, and trust.

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.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

⏱️ You’ve got 48 hours - create, build, and launch! 🌟 Get direct access to Qubic, mentors, and ecosystem support. 💰 Compete for your share of $44,550 in prizes across two tracks. 🤝 Work solo or team up to design the next wave of blockchain innovation. 🧑‍💻 Sign up and start building on one of the world’s fastest decentralized networks..