MARKET · COOK · TASTE
shangzhuochifan
SHANGZHUOCHIFAN · @YUYIXUANFU
Let the AI buy food, bargain, and cook by itself, and then give the finished product to a real person for evaluation.
Eat on the Table turns the vegetable market, ingredients, cooking steps and real-person tasting feedback into a callable word game. AI needs to plan the budget, select materials and complete the cooking step by step.
Project address (can be copied to AI):https://github.com/yuyixuanfu/shangzhuochifan
PROJECT INTRO
Project introduction
Serving the Table is a text cooking and market simulation game for AI. The AI first purchases ingredients in the market, bargains with stall owners, then processes and cooks them step by step, and finally brings the finished product to the table.
The project writes the actual feedback from real partners back to the game record, so that the next time you cook, you can not only rely on the rules, but also refer to previous tastes and reviews.
- Suitable for:People who want to experience grocery shopping, cooking, and real feedback loops with AI.
- Platform:Python CLI。
- Usage:Purchase, process, and cook via text commands, with actual reviews entered by a real person upon completion.
- License:The source code of the repository is open to the public, and the specific reuse and distribution are subject to the project statement.
COMMENTS & FEEDBACK
Comments and Feedback
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SOURCE & CREDIT
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