I’m building a proof-of-concept mobile solution that lets waiters take table orders by speaking, then shows the confirmed requests to the kitchen in a concise dashboard. The goal is to demo the core workflow to investors rather than launch a full production product, so speed and functional clarity matter more than polish. Core flow • Waiter opens the app (iOS and Android) and taps an Order button. • Google Cloud Speech-to-Text converts spoken items, quantities, and special instructions to text in real time. • The waiter reviews the parsed order, edits if needed, and confirms. • A lightweight kitchen display instantly receives the order, grouped by table, and lets staff move tickets through visual states: Received → In Progress → Completed. Deliverables 1. Cross-platform waiter app built with a single codebase (React Native or Flutter—use whichever you’re fastest with). 2. Simple web or tablet-friendly kitchen screen that auto-updates and persists state while the session is active. 3. Minimal back-end or cloud functions to relay data between the two interfaces. 4. Short README and video walkthrough showing the voice capture, edit/confirm step, and status changes on the kitchen side. Acceptance criteria • Speech accuracy good enough to recognise common menu items in a demo setting. • Order edits sync instantly to the kitchen view. • Status changes reflect within two seconds across devices. • Codebase builds successfully for both iOS and Android simulators. Keep the UI basic; think wireframe-level. I just need stable functionality I can demo next month, so choose libraries you already know well and prioritise a clean, testable architecture over pixel-perfect design.