Contact person: Business Client

Phone:Show

Email:Show

Location: Rajkot, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need an MVP that lets a waiter create or update an order on a phone, immediately stores it in the backend, and shows that ticket on every kitchen screen so cooks can mark the progress. When the kitchen changes a ticket’s status, the original staff member should get an in-app toast and a push notification. A lightweight AI helper must also analyse the recent order stream and suggest the most probable next menu item to speed up data entry.

The solution has to work in a browser and compile into native builds for both iOS and Android. I’m open to React, React Native, Flutter or any other modern stack as long as the codebase stays unified and the real-time layer (WebSocket, Firebase, or similar) remains rock-solid. Clean architecture, unit-tested core business logic, and Docker-ready deployment scripts will make handing the project over to my ops team painless.

Admin pages are needed for menu management, user accounts and basic reporting, but they can stay utilitarian—function over form at this stage. What matters most is that the three roles (Admin, Staff/Waiter, Kitchen/Worker) log in, see only what they need, and can perform the essential tasks in two taps or fewer.

Deliverables:
• Source code for the web client and the cross-compiled mobile apps
• Backend with documented API endpoints, real-time event broadcasting and simple role-based auth
• AI suggestion module (frequency or small ML model) with a clear way to retrain on new data
• Dockerfile / docker-compose so the whole stack spins up with a single command
• Brief README covering build, deploy and versioning procedures

Acceptance is straightforward: spin up the stack, enter a test order as Staff, watch it appear live on Kitchen, update its state, and confirm Staff receives the push. If the AI suggests the next most common item after ten or so mock orders, we’re good.

If this sounds like a project you can complete end-to-end, let’s talk timelines and architecture choices." (client-provided description)