Projects / Mobile App / Personal Picker™
AI shopping mobile MVP
Overview:
Personal Picker™ is an AI-powered mobile shopping assistant designed to help users make safer, smarter product choices. By scanning products using a mobile camera, the app provides personalised recommendations based on dietary needs, allergies, and health preferences.
The client needed an AI-powered shopping app that could simplify product decisions for health-conscious users. The challenge was to create an intuitive mobile MVP that could scan real-world products, understand dietary preferences and allergies, and deliver personalised recommendations in a simple user-friendly flow.
We designed and developed a complete mobile MVP with a clean onboarding flow, user profile setup, camera-based product scanning, and AI-powered recommendation logic. The app was built with FlutterFlow and Firebase, while GPT-4 Vision enabled smart product analysis based on each user’s health preferences.
AI Product Scanning
Personalised Health Filters
Dietary Profile Setup
Smart Product Recommendations
The project resulted in a market-ready mobile MVP with a smooth scanning and recommendation experience, helping the client validate the product idea with a strong user-focused foundation and clear go-to-market strategy.
Ethan Nelson
Codetic
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