@asadalilodhi298

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.

📅 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.