what-to-eat is an AI-powered recipe generation platform that helps users decide what to cook by generating customized recipes based on ingredients, cuisine preferences, and dietary considerations. The application combines modern frontend technologies with large language models to create a fully interactive cooking assistant that can produce detailed recipes, nutritional analysis, and even visual representations of dishes. It supports a wide range of cuisines, including traditional Chinese regional styles and international dishes, making it versatile for different cultural preferences. The system goes beyond simple recipe suggestions by including features such as wine pairing recommendations, sauce design, and health scoring, providing a more holistic cooking experience. It also includes a dynamic configuration system that allows users to switch between AI models and adjust parameters in real time without restarting the application.

Features

  • AI-generated recipes based on ingredients and cuisine preferences
  • Nutritional analysis and health scoring for generated meals
  • Support for multiple cuisines including Chinese and international dishes
  • Wine pairing and sauce design recommendations
  • Dynamic configuration of AI models and parameters at runtime
  • Ability to generate visual representations of dishes

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Additional Project Details

Programming Language

TypeScript

Related Categories

TypeScript Artificial Intelligence Software

Registered

2026-03-18