What is Flavormind

FlavorMind is an AI-powered mobile application designed for both iOS and Android platforms. It helps users log meals, track pantry items, understand their flavor preferences, and generate personalized meal plans using an MCP-enabled AI agent (Claude or GPT).

Use cases

Use cases for FlavorMind include planning weekly meals, discovering new recipes based on personal taste, tracking pantry inventory to minimize food waste, and gaining insights into cooking habits to enhance culinary skills.

How to use

To use FlavorMind, users need to download the app from their respective app stores. After installation, they can log their meals, manage pantry items, and receive personalized meal recommendations based on their cooking history and flavor preferences.

Key features

Key features of FlavorMind include meal logging, pantry tracking, personalized meal planning, and insights into flavor trends. The app leverages advanced AI capabilities to provide tailored recommendations and analysis.

Where to use

FlavorMind can be used in various settings, including home kitchens, meal prep environments, and by individuals looking to improve their cooking skills and dietary habits. It is suitable for anyone interested in meal planning and culinary exploration.

FlavorMind

FlavorMind is an AI-powered mobile application designed to help users plan meals, log recipes, track pantry items, and discover personal flavor trends. The app uses Claude 3 or GPT-4 with memory (MCP) to deliver personalized meal recommendations and insightful analysis based on your cooking history and preferences.

MVP Development Roadmap

MVP 1: Local Mobile Prototype

• Set up the core React Native app using Expo
• Build the following UI screens:
  • Log Meal
  • Meal Plan
  • Pantry
  • Flavor Profile
  • Settings
• Use AsyncStorage for local state management
• Enable manual meal and pantry logging

MVP 2: Backend Integration

• Create a backend service using FastAPI or Flask
• Design and expose the following API endpoints:
  • POST /log-meal
  • GET /pantry
  • POST /update-pantry
  • GET /meal-plan
• Use SQLite (initially) or Supabase (later) for persistent data storage
• Connect the mobile app to the backend using Axios

MVP 3: AI-Powered Meal Planning

• Integrate Claude 3 or GPT-4 with memory (MCP)
• Structure and store user memory in a consistent format
• Design prompt templates to:
  • Plan weekly meals
  • Recommend dishes based on flavor preferences
  • Surface cooking insights from past logs
• Display AI-generated meal recommendations in the mobile interface

Setup Instructions

Mobile App (React Native / Expo)

1. Navigate to the mobile project directory:

   cd mobile
   

2. Install dependencies:

   npm install
   

3. Start the development server:

   expo start
   

Backend Server (FastAPI)

1. Navigate to the backend directory:

   cd backend
   

2. Install Python dependencies:

   pip install -r requirements.txt
   

3. Run the API locally:

   uvicorn main:app --reload
   

Technology Stack

• Frontend: React Native (Expo)
• Backend: FastAPI or Flask
• State Management: AsyncStorage, Zustand, or Context API
• Database: SQLite (local) or Supabase (cloud sync)
• AI Agent: Claude 3 or GPT-4 with long-term memory (MCP)

Directory Overview

FlavorMind/
├── mobile/                      # React Native app (Expo)
│   ├── App.tsx                  # Root entry point
│   ├── navigation/              # Stack/tab navigation setup
│   ├── screens/                 # UI screens
│   ├── components/              # Reusable components
│   └── utils/                   # Helper functions and API logic
├── backend/                     # FastAPI backend
│   ├── main.py                  # API entry
│   ├── routes/                  # Endpoint logic
│   ├── db/                      # Database models
│   └── ai/                      # Prompt handling and AI logic
└── requirements.txt             # Backend Python dependencies