Back to Projects
Food Recommendation App

Chefies

Chefies helps users decide what to cook by recommending menus from ingredients they already have.

Role

Mobile developer

Duration

Supporting project

Chefies case study hero right mockup
Chefies case study hero left mockup

Problem

Users often have ingredients available but need quick menu ideas that match what they can cook now.

Solution

Created a mobile recommendation experience that turns available ingredients into relevant food suggestions.

Outcome

Chefies demonstrates practical ML-assisted product thinking for everyday consumer decision making.

My Role

Product-minded execution across the stack.

This case study emphasizes what I planned, implemented, integrated, and shipped rather than only showing screens.

Ingredient-based recommendations
Simple consumer UX
ML-assisted menu ideas

Key Features

Recommendation

  • Ingredient input
  • Menu suggestions
  • Recipe discovery

Technical Highlights

  • Recommendation flow
  • Mobile-first form UX
  • Firebase-ready data model
FlutterMachine LearningRecommendation UXFirebase

Visual Showcase

Project surfaces

Available for product work

Need a Flutter developer who can think beyond screens?

I can help with mobile-first product delivery, fintech workflows, Firebase-backed apps, and polished case-study-ready product execution.

Discuss a ProjectChat on WhatsAppDownload CV

Best for freelance inquiries, product collaboration, and project discussions.