Consumer AI · Solo Build · 2026

Meal Melody

A meal discovery app for 50+ global cuisines. Scan your pantry or fridge to cook from what you already have, get recipes adapted to your diet and preferences, and follow along with a multilingual AI chef that chats, listens, and reads recipes aloud while you cook.

Visit Meal Melody Back to Home
+45%
Daily active usage after beta iteration
−30%
Load time reduction
50+
Global cuisines supported
20+
Beta users in qualitative research
The Problem

Cooking from what you have shouldn't feel like work.

Most recipe apps treat dietary preferences as filters, narrowing the cuisines you see instead of personalizing them. You lose the dishes you grew up with, or the ones you'd love to try, because the app decided they don't fit you.

And you don't always know what's actually in your own kitchen. Groceries get pushed to the back of the fridge, stacked in the pantry, lost behind something else. Cooking from what you already have starts feeling like extra work to figure out, so eating out wins.

Meal Melody flips both. A pantry and fridge scanner surfaces what you actually have, including what you forgot. Recipes get adapted to your diet and preferences instead of being filtered out. And a multilingual AI chef walks you through cooking with chat, voice, and read-aloud, so you don't need clean hands to follow along.

How It Started

Built from a problem I kept hearing.

My friends and I kept having the same conversation, one that reflected a frustration I was facing myself. We were tired of eating the same meals or constantly defaulting to takeout. The problem was real and recurring, yet no one had built a meaningful solution. I decided to build one.

Features

Four parts working together.

  • Personalization
    Set your diet, allergies, and preferences once. Every recipe Meal Melody surfaces is shaped around your profile from the start, so you never have to filter through what does not apply to you.
  • AI Scanner
    Scan your fridge or pantry, and Meal Melody recognizes what is actually there. Recipe recommendations are built from the ingredients you already have, helping reduce food waste and the daily question of what to make.
  • AI Tailor
    Generate new recipes through search, and AI Tailor automatically caters them to your profile. You can also customize anything further, swapping ingredients, adjusting portions, or changing a technique to fit your kitchen.
  • AI Chef
    Cook hands-free with voice guidance that walks you through every step. Ask questions, request substitutions, or adjust on the fly through voice or text chat, with multilingual support across the languages offered.
What I Owned

Full product lifecycle, blank page to shipped.

  • Product Strategy
    Scoped the MVP, wrote PRDs and user stories, defined the product principle, and prioritized features for beta and launch.
  • UI / UX
    Designed the full UI in Lovable: pantry/fridge scan flow, dashboard, recipe detail with native script in titles, cooking mode, and onboarding.
  • AI Integration
    Integrated Gemini for pantry/fridge recognition, dietary recipe adaptation across 50+ cuisines, multilingual voice chat, read-aloud cooking guidance, and real-time substitution suggestions.
  • Engineering
    Built and debugged core features using Claude Code, managed version control in GitHub, integrated Supabase backend services.
  • A / B Testing
    Ran A/B tests on onboarding-to-dashboard flow and personalized AI prompt variants across beta user segments. Applied winning variants to lift recipe relevance and dashboard engagement.
  • User Research
    Conducted research with 20+ beta users. Iterative improvements drove +45% DAU and −30% load time reduction.
Stack

Lean tools, end-to-end ownership.

Lovable Supabase Claude Code Gemini APIs React TypeScript GitHub

See it in action.

The site walks through the product. The app proves it works. Try Meal Melody yourself.

mealmelody.com