# liu-ziting/what-to-eat

一饭封神：一个基于 AI 的智能菜谱生成平台，支持中华八大菜系 + 国际料理，提供营养分析、酒水推荐、菜谱效果图生成等全方位烹饪指导。

Repository: https://github.com/liu-ziting/what-to-eat
Canonical: https://ross.abutalabs.com/products/what-to-eat
Homepage: http://eat.lz-t.top
Language: Vue
License Family: other
Topics: ai, gpt, vibe-coding
Last push: 2026-01-12T01:20:07+00:00

## Health v2 (maintenance only)
Score: 45/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 61, release rhythm 35, longevity 27
- inputs: {"age_days": 387, "days_push": 234, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3500, forks 524 (observed 2026-08-28T04:08:07.536628+00:00)

## What it is
An AI-powered recipe generation web platform built with Vue 3 and TypeScript that creates recipes across China's eight major cuisines plus international cooking. It offers nutrition analysis, AI-generated dish images, wine pairing suggestions, and dynamic runtime configuration of any OpenAI-compatible model.

## Use cases
- generate recipes from ingredients I have at home
- get AI recipe suggestions for Chinese cuisine
- analyze nutrition of a dish
- get wine pairing recommendations for a meal
- generate images of what a cooked dish looks like
- decide what to eat for dinner
- create custom sauce and seasoning recipes

## When to choose
- you want an AI cooking assistant covering Chinese regional cuisines
- you need a self-deployable recipe app on Vercel or Netlify with your own OpenAI-compatible API key
- you want recipe generation plus nutrition analysis and dish imagery in one tool

## When to avoid
- you need an offline recipe database without AI API costs
- you require a license-protected or commercially redistributable project (no license is provided)
- you need native mobile apps rather than a web application

## Facets
- artifact type: application
- maturity: active
- function: llm-inference, web-framework, ui-components, image-processing
- domain: artificial-intelligence, large-language-models, web-development, food
- platform: browser
- tags: recipe-generation, ai-cooking, vue3, vite, tailwindcss, openai-compatible, nutrition-analysis, wine-pairing, vercel, netlify, web-server, nodejs, vue

## Member repositories
- liu-ziting/what-to-eat (main) score 45

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:07.536628+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:35:48.556620+00:00, confidence not recorded.
  - readme: https://github.com/liu-ziting/what-to-eat (fetched 2026-08-28T04:08:07.536628+00:00, sha 99623d86d6f8)
  - homepage: http://eat.lz-t.top (fetched 2026-08-29T09:30:03.408191+00:00, sha 8278a8fe7ba6)
- Data as of 2026-08-30T08:39:29.467469+00:00.