Summaiya Shoaib@summaiya

Modern applications, APIs, and AI-powered backend pipelines face persistent threats from unexpected and hostile inputs. A single unvalidated payload can trigger critical SQL injection risks, unhandled null failures, string overflows, or malformed data exceptions. While developers care about security, traditional testing tools are built for slow, late-stage audits rather than rapid development, creating a severe delay between writing code and knowing if it can survive adversarial conditions. This gap is even wider with AI-generated code, which often functions under normal inputs but breaks when exposed to edge cases. Resilix bridges this gap as an autonomous adversarial testing agent that breaks code before a real attacker does. By pasting a code snippet or API endpoint into Resilix, developers instantly receive an adversarial analysis across four high-impact vulnerability categories: SQL injection, unhandled null exceptions, string overflow risks, and malformed payload structures. Resilix goes beyond standard vulnerability scanning by generating a dynamic 0–100 Resilience Score, assigning severity levels to detected risks, and instantly synthesizing a defensive code patch. Target users include software engineers, API developers, and AI developers who need instant security feedback during active building. Developers interact with Resilix through the dark-mode Chaos Dashboard, pasting target code and receiving radial score animations, severity badges, expandable vulnerability details, and one-click patch toggles. What makes Resilix unique is its immediate feedback loop that combines vulnerability scanning, scoring, and automated patch generation into a single lightweight interface. Built on a Python Flask backend with compiled regex pattern matching and weighted severity scoring, Resilix acts as a real-time defensive assistant that makes code resilient before deployment.

AidCycle is an AI-powered platform designed to stop useful household items from becoming waste too early. Many damaged or unwanted objects are thrown away even when they could still be repaired, reused, or donated. At the same time, many people cannot easily afford to replace basic items. This issue is especially prevelant for victims of natural disasters. AidCycle helps bridge that gap by analyzing an item, ranking its best next-life options, connecting it to repair support or someone who needs it, and helping track the item through delivery. Our target users are people with damaged or unwanted items, people who need affordable household items, repair shops, riders, and community or donation organizations. The platform is especially useful in situations where repair and reuse can reduce both waste and replacement costs. We used native.builder to quickly turn the AidCycle idea into a working product interface and improve the main user flows during the hackathon. It helped us build and refine screens faster, while we focused on the more unique parts of the solution, including AI image analysis, recommendation ranking, repair support, recipient matching, rider workflows, and item tracking. AidCycle brings these parts together into one connected journey: understand, decide, repair, match, move, and track

💻 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

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.