Projects / Mobile App / Personal Picker™

AI shopping mobile MVP

Personal Picker™

AI-powered shopping assistant

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 Challenge

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.

Our Solution

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.

Key Features

AI Product Scanning

Personalised Health Filters

Dietary Profile Setup

Smart Product Recommendations

Achieved Outcome

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.

Tech Used

Ethan Nelson

Codetic