Muhammad Rumman Aslam@uman

In large organizations, updating legacy systems is terrifying because a minor change can break decades of interconnected infrastructure. This fear paralyzes engineering teams, turning a simple 5-line security patch into a 9-month administrative nightmare of manual review committees and slow regression testing cycles. Consequently, companies often ignore critical vulnerabilities because doing nothing feels safer than touching old code. To solve this specific challenge, we built BobGuard, an autonomous legacy modernization and security remediation engine powered by IBM Bob 2.0. Target users include enterprise DevSecOps teams, legacy system maintainers, and platform engineers who need to ship securely at startup speed. Engineers interact with BobGuard through a streamlined, human-in-the-loop Terminal User Interface (TUI). The user submits a local repository path to the CLI, prompting BobGuard to scan the codebase, orchestrate an AI-driven fix, and test it. Finally, the user is presented with a color-coded, side-by-side diff and a risk report, allowing them to simply type 'y' or 'n' to approve the deployment and maintain absolute executive control. What makes our solution creative and unique is that, unlike standard LLM coding assistants that blindly generate text, BobGuard utilizes a zero-trust, multi-layered verification architecture. This includes a Multi-Agent Consensus where three distinct IBM Bob personas (Security Expert, Performance Guru, and Legacy Maintainer) debate the proposed code, a custom Abstract Syntax Tree (AST) parser that structurally guarantees no dangerous functions were hallucinated, and an isolated sandbox that executes the patch against existing unit tests. If a test fails, a self-healing loop feeds the stack trace back to IBM Bob to fix the error autonomously. This effectively and efficiently addresses the stated issue by completely eliminating the manual bottleneck of software maintenance. By automating static analysis, consensus review, and test execution, BobGuard compresses 9 months of enterprise caution into 90 seconds of verified safety, complete with a built-in Business ROI Engine that instantly calculates the financial cost, human hours, and computing resources saved on every run.

Ai WarrantyVault is an AI-powered, privacy-first warranty manager that helps users organize and track product warranties in seconds. Instead of manually entering purchase details or storing sensitive data in the cloud, users simply upload a receipt or warranty card. Our AI extracts key information—including the product name, store, purchase date, and warranty duration—and instantly generates a clean digital warranty card. WarrantyVault automatically calculates warranty expiry dates, displays the current warranty status, and lets users download an .ics calendar reminder so they never miss a claim deadline. The application supports multiple receipts in a single session while keeping all data local to the browser. Unlike traditional warranty management apps, WarrantyVault requires no login, no database, and no permanent cloud storage. All information exists only during the current session, giving users complete control over their personal purchase data. Built with React, TypeScript, Tailwind CSS, Supabase Edge Functions, and Fireworks AI Vision, WarrantyVault combines modern AI with a simple, secure, and intuitive user experience. Scan. Track. Never Miss a Warranty Again.

Livora AI is an AI-powered preventive healthcare platform that helps people understand, monitor, and improve their liver and metabolic health. Instead of only detecting disease after symptoms appear, Livora AI focuses on identifying health risks early and tracking changes over time to support prevention. The platform combines blood test results (ALT, AST, bilirubin, GGT, albumin, etc.), ultrasound reports, medical history, weight, BMI, diabetes status, family history, and lifestyle factors such as diet, exercise, sleep, and alcohol consumption to build a personalized health profile. Using AI, Livora AI automatically extracts information from medical reports and transforms it into easy-to-understand insights, including a Liver Health Score, risk assessment, biomarker trends, report explanations,also analyze ultrasounds and personalized lifestyle recommendations. Rather than showing only medical values, the platform explains what has changed, why it matters, and how users can improve their health. A key innovation is the Liver Twin, a personalized AI model that continuously learns from a user's health history to monitor long-term progress. The What Changed? AI Engine compares previous and current reports to identify meaningful health changes and provide clear explanations in simple language. The MVP includes AI-powered report analysis, health profile creation, automated report data extraction, progress tracking, personalized dashboards, and preventive health coaching. While Livora AI initially focuses on liver health, its architecture is designed to expand into broader metabolic health, including obesity, diabetes, metabolic syndrome, and cardiovascular risk. By transforming fragmented medical data into personalized health intelligence, Livora AI aims to become a lifelong AI health companion that empowers individuals to take informed action before disease progresses.

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🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Online Hackathon | 💻 Online Build: Sept 26 - Oct 5, 2026 A virtual, global hackathon. Build from anywhere in the world. Dark Factory is the official hackathon of WeAreDevelopers World Congress North America, presented by BAND, but you don't need to be in San Jose to take part. For one week, you build a software factory in BAND Desktop: a band of coding agents that plans work, implements it and checks its own results. 🎟️ Bonus for sign-ups: you are eligible for a free ticket to WeAreDevelopers World Congress North America in San Jose (Sep 23–25). If you do go, stop by the BAND booth: a surprise is waiting for you.

💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob