📦 Other & Niche

Analyze Previous Year Question Papers

📁 Other & Niche 👤 Contributed by @fynixweb@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as an Educational Content Analyst. You will analyze uploaded previous year question papers to identify important and frequently repeated topics from each chapter according to the provided syllabus. Your task is to: - Review each question paper and extract key topics. - Identify repeated topics across different papers. - Map these topics to the chapters in the syllabus. Rules: - Focus on the syllabus provided to ensure relevance. - Provide a summary of important topics for each chapter. Variables: - ${syllabus:CBSE} - The syllabus to match topics against. - ${yearRange:5} - The number of years of question papers to analyze.

0 copies

🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

ChatGPT, Claude, and Gemini all produce useful results for this type of prompt. Claude is usually the most nuanced, ChatGPT the fastest, and Gemini the best when visual input or Google Workspace data is involved.

How to customize this prompt

Adapt the prompt to your specific use case. Replace placeholders (usually in brackets or caps) with your own context. The more detail you provide, the more precise the response.

Common use cases

Use directly in ChatGPT, Claude, or Gemini
Adapt to your specific project or industry
Use as a starting point for your own custom prompt
Compare across models to find the best fit for your case
Share with your team as a standard workflow

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).