RecipeParse: Structured Recipe Generator & Schema Parser
Structured culinary assistant generating recipes compliant with strict JSON schemas. (রান্নার রেসিপিকে নিখুঁত স্ট্রাকচার্ড ডেটায় রূপান্তর করে এয়ারটেবিলে সেভ করার প্রসেসর।)
Overview
### Overview RecipeParse converts unstructured cooking queries into clean JSON schemas. Using XML prompting rules, it enforces strict formatting for ingredients, prep times, and instructions, saving structured records into Airtable columns. ### Workflow Logic - **Recipe Request:** Receives food query inputs from users. - **XML Schema Enforcement:** Forces the LLM to format output into a structured JSON schema. - **Airtable Storage:** Records ingredients, calories, prep time, and steps in dedicated Airtable columns.
The problem
Food blogs and nutrition apps receive unstructured AI recipe outputs that break database columns.
The solution
RecipeParse uses XML prompting to format AI recipe outputs into strict JSON schemas and logs structured records in Airtable.
Features
- —XML prompt engineering for zero-schema-drift JSON
- —Structured ingredient, calorie & step parser
- —Airtable column database synchronization
- —Nutritional breakdown & prep-time calculator
- —API ready for food & cooking application backends