Nirmalam Q-Deconstruct
Education
AI-powered exam reasoning, question deconstruction and learning analytics.
- Price
- Free
- No in-app purchases
- Updated
- Oct 7
- 2026 · v0.9.0
Screenshots
About Nirmalam Q-Deconstruct
Instead of simply showing an answer, Q-Deconstruct helps you understand how a question is constructed, which clues matter, how to evaluate options, and why distractors can be misleading.
Learn how to read the question
Capture a question using the camera or type it manually. Q-Deconstruct can help identify the subject, chapter, topic and underlying concept, then break the question down using a structured, Gherkin-inspired reasoning approach:
• GIVEN — What information is provided?
• WHEN — What concept or reasoning process should be applied?
• THEN — What should you determine?
• AND — What traps, exceptions or checks should you consider?
Important clues and concepts can also be given educational weightage to help you focus on what matters most.
Think before revealing the answer
Q-Deconstruct encourages active reasoning rather than passive answer checking.
You can:
• Predict the answer before seeing the options
• Select your final option
• Type or speak your rationale
• Record your confidence level
• Request a hint
• Narrow the choices to two likely options
• View AI reasoning scores for each option
• Reveal the correct answer only after completing your reasoning
Learn from mistakes
Q-Deconstruct analyzes not just whether an answer was right or wrong, but how the reasoning developed.
Features include:
• Distractor Fingerprint — identify recurring patterns behind wrong choices
• Option Autopsy — understand why each answer choice is tempting or incorrect
• Examiner Intent — understand what the question is really testing
• Most Discriminating Clue — identify the clue that should carry the most weight
• Reading Strategy — learn how to approach similar questions more effectively
Transfer your learning
Transfer Challenges generate a new question based on the same concept but with different surface details. This helps determine whether you truly understood the concept rather than simply recognized the original question.
Personal learning analytics
Your saved question history can generate insights such as:
• Overall accuracy
• Transfer strength
• Confidence calibration
• High-confidence errors
• Assistance reliance
• Weak concepts
• Subject and chapter performance
• Distractor patterns
• Review priority
• Behavioral readiness
These metrics are intended as learning aids and are not predictions of examination scores.
Multimodal question support
Q-Deconstruct is designed to work with questions containing:
• Diagrams
• Images
• Charts and graphs
• Tables
• Mathematical equations
• Physics formulae
• Chemical formulae
• Image-based answer choices
Private study history
Question history and learning analytics are stored on the device using encrypted local storage.
Q-Deconstruct supports both:
• Local on-device AI models
• Optional cloud AI providers selected by the user
When a cloud provider is selected, the question content required for analysis is sent directly to that provider according to its own terms and privacy policy.
Share and export
You can:
• Save complete question history
• Search previous questions
• Mark favorites
• Build a review queue
• Export history as CSV
• Copy formatted breakdowns
• Share through WhatsApp and other apps
Q-Deconstruct is designed to help students move beyond memorizing answers and develop stronger skills in question reading, evidence evaluation, option discrimination and transferable reasoning.
What’s new
Version 0.9.0 · Updated October 7, 2026
Q-Deconstruct v0.9.0 • Completely redesigned camera capture workflow • Review the actual captured photo before OCR • Crop the exact question area for improved OCR accuracy • Added Retake Photo and New Question controls • Improved camera stability and image handling • Improved OCR workflow and error handling • Improved final-answer submission and validation • Clearer feedback for missing answer, rationale or confidence • Improved handling of interrupted AI-provider connections
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