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.
Industry:
Services Provided:
UI/UX design
Mobile MVP development
Firebase integration
AI product scanning
GPT-4 Vision integration
User onboarding flows
Profile management
Recommendation engine setup
Marketing strategy planning
Camera-based product scanning
User profiles with dietary needs & allergies
AI-powered product analysis and recommendations
Secure authentication and data storage
Scalable backend for future feature expansion
Clean, mobile-first UI/UX
Defined product goals, user needs, and MVP scope.
Designed all app screens and user flows in Figma with a mobile-first approach.
Set up FlutterFlow and Firebase, implementing core features and AI integration.
Iterated based on feedback, ensuring usability and performance.
Final review, documentation, and MVP handover ready for launch.
Complex dietary preference mapping
Accurate product scan analysis
User-friendly AI onboarding
Scalable MVP architecture
Personalised recommendation logic
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