Prasad Roundhal@BO55ROUNDHAL

ArcOS is a concept for an agentic stablecoin commerce system that helps businesses reduce unnecessary cash movement by reshaping verified payment obligations before settlement. Instead of simply asking, “Should this invoice be paid?”, ArcOS asks: Can multiple businesses adjust payment timing and settlement terms within approved limits so more obligations cancel each other before money moves? The system uses AI agents to propose settlement options, deterministic policy checks to enforce company mandates, a liquidity optimizer to find compatible clearing rings, and programmable USDC settlement for the final net amount. ArcOS is currently a concept in development for The Stablecoins Commerce Stack Challenge, focused on proving whether negotiated liquidity rings can create economic value beyond ordinary invoice netting and payment automation.

Cyber Sentinel AI is an AI-powered cybersecurity investigation platform designed to help users quickly analyze potential cyber threats through a collaborative multi-agent workflow. Instead of relying on a single AI model, the platform separates responsibilities across specialized agents for threat analysis, independent verification, and incident response generation. Users can investigate suspicious emails, URLs, prompt injection attempts, and browser extension permissions through a unified interface. Each investigation follows a structured pipeline that combines rule-based evidence collection with AI reasoning to generate actionable recommendations, a dynamic security score, an investigation timeline, and persistent history. The backend is built with FastAPI, containerized using Docker, and designed with a modular architecture that makes it easy to add future investigation modules such as ransomware behavior analysis, live threat intelligence, and ROCm-powered local inference on AMD GPUs. Cyber Sentinel AI demonstrates how multi-agent systems can improve the accuracy, transparency, and usability of cybersecurity investigations while providing a scalable foundation for future security automation.

TransformX AI is an AI-powered fitness transformation platform designed to act as a personalized digital coach using a multi-agent architecture. It delivers intelligent workout planning, nutrition guidance, progress analysis, motivation, and professional report generation based on user attributes such as age, gender, height, weight, activity level, sleep habits, diet preferences, experience level, and injuries. The platform provides personalized home and gym workout plans, vegetarian and non-vegetarian diet recommendations, recipe generation, BMI and body composition analysis, recovery and injury prevention guidance, reminders, and weekly revision strategies. TransformX AI also includes premium features such as Progress Score, Sleep Score, Hydration Score, Habit Score, Transformation Score, dynamic calorie adjustment, plateau detection, and AI coach personality-driven feedback. It generates professional PDF reports containing user information, progress summaries, workout plans, nutrition guidance, recipes, and recovery strategies. The system follows a multi-agent approach consisting of a Supervisor Agent, Fitness Coach Agent, Dietitian Agent, Motivation Agent, Progress Analysis Agent, Injury Prevention Agent, Recipe Generator Agent, Reminder Coach Agent, and Revision Agent, working together to provide structured and personalized fitness transformation plans.

🌎 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.

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. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.