ASAD ALI LODHI@asadalilodhi298

The Problem: Creating a visual novel or comic requires massive effort in storyboarding, maintaining character consistency, and managing hundreds of high-res image assets. The Solution: Genblaze Visual Novel Studio pairs you with an AI Art Director. You simply chat about your story idea in plain English. The AI extracts a structured script, casts characters, and automatically orchestrates the generation of an entire visual storyboard. How I built it (Architecture): Interactive Frontend: A stunning, glassmorphism UI built with Next.js and Framer Motion, utilizing Server-Sent Events (SSE) to stream generation progress to the user in real-time. AMD Compute (The Engine): We deployed a custom ComfyUI inference server on a powerful AMD MI300X droplet. Our Python backend dynamically compiles complex ComfyUI workflows (utilizing Animagine-XL) and sends them to the AMD node for blazing-fast image generation. Backblaze B2 (The Vault): As soon as the AMD droplet finishes rendering a panel, our FastAPI backend streams the raw bytes directly into a Backblaze B2 bucket. The assets are then served instantly back to the frontend via B2's high-performance public CDN. This architecture proves that complex, multi-modal AI workflows can be orchestrated seamlessly by combining AMD's cutting-edge accelerators for heavy compute with Backblaze B2 for reliable, cost-effective asset delivery.

WASI revolutionizes the fast-food ordering experience by transforming WhatsApp into an intelligent, seamless conversational storefront, deeply integrated with and monitored by Band AI Cloud. Traditional chatbots rely on rigid decision trees, but WASI utilizes an advanced LangGraph multi-agent state machine powered by Groq’s lightning-fast Llama-3-70B model. The entire conversational pipeline relies on Band AI Cloud telemetry for enterprise-grade observability. When a customer messages the restaurant in Roman-Urdu, Band AI tracks the Supervisor Agent as it dynamically routes the conversation through specialized sub-agents: Menu, Delivery, Payment, and Profile. These agents natively parse complex natural language into strictly typed JSON objects, dynamically updating the customer's cart, handling size variants, and calculating subtotals—all while streaming execution events back to the Band AI dashboard in real-time. To handle edge cases that AI cannot solve alone, WASI features a "Human-in-the-Loop" Receptionist Dashboard built with React and Vite. If an address is invalid or an item goes out of stock, a human receptionist can reject the order with a note. WASI’s AI instantly interprets this feedback, alters the internal database state, and re-engages the customer to fix the issue. Powered by Band AI's robust agent infrastructure and strict asynchronous locks to prevent race conditions, WASI is a production-ready SaaS template designed to bring powerful AI to local restaurants.

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.