Build Voice-Activated Smart Shopping Assistant App MVP

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We are looking for a skilled no-code/low-code/full-stack developer to build the MVP version of a voice-driven app called ShopBott. The core idea: Users should be able to say something like: “I need paper towels at work” …and the app should remember their context, know their shopping history, and either: Add the item to the right shopping list (e.g., “Work List” or “Home List”), or Offer to place an order from their preferred vendor (e.g., Amazon or Walmart) ----------------- ----------------- What We Want Built: A simple but powerful cross-platform app (mobile-first preferred) with: :Core Functionality: Voice input (users speak to the app naturally) Context awareness (home vs. work) Smart memory (knows where users typically buy specific items) Shopping list creation & tracking Vendor suggestions (“You usually get that from Amazon — want me to order it?”) ** Backend memory that improves with each use ** :Deliverables: A fully functional MVP users can test (web or mobile app) Backend memory system (could use Airtable, Firebase, Xano, etc.) Voice assistant logic (Voiceflow, custom NLP, or other tools) Ability to scale up later (i.e., not locked into dead-end tools) Clean UX with a simple interface (bonus if you can provide UI design) :Tech Stack: We're open to whatever tools or frameworks you think are best: No-code (Voiceflow, Glide, Thunkable, Make) Low-code (FlutterFlow, Xano) Custom code (React Native, Firebase, etc.) Just explain your reasoning and experience. :Ideal Candidate: Has experience building smart assistants, task managers, or context-aware apps Understands how to connect voice input → backend → action Can build and explain a simple data model that gets smarter over time *** Can iterate quickly ***

Keyword: Design web

Price: $3.0

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