Prompt Engineering · Guided project
Job Posting Analyser with Structured Prompts — Guided Project
Use structured JSON prompts to extract skills from ten real job postings and find out what companies actually want from freshers.
- Intermediate
- ~3 hours
- 5 steps
The brief
Copy ten fresher job postings for a role you want. Use one structured prompt to turn each posting into JSON (role, company, location, experience, skills). Combine the results in a spreadsheet and find the ten most requested skills. You finish with real data to plan your learning — and a project that shows practical AI use.
Skills you will use: Structured output · Delimiters · Validation
Build it
Step by step
Tick each step as you finish it. 0 of 5 done.
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Step 1Collect postings
Save ten job postings for one role into a text document.
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Step 2Write the extraction prompt
Use the JSON prompt pattern with exact keys, null for missing values and "JSON only".
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Step 3Validate
Paste each result into a JSON validator; fix the prompt until all ten pass.
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Step 4Analyse
Put the skills into a spreadsheet and count how often each appears.
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Step 5Share the insight
Write a short post or README: "What 10 companies want from a fresher data analyst".
Self-review before you call it done
Tick each point once your project really meets it. These are the things an interviewer will look for.
Check all 3 points, then mark the project as finished.
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