🧠 SharpRevise AI — Mistake Identification Report

Analyzing Ravi's performance and highlighting weak areas

Student: Ravi

JEE 2025 Batch

Mistake Summary

❌ Weak Topic Projectile Motion — multiple formula mistakes and trajectory confusion
⚠️ Needs Attention Circular & Relative Motion — vector directions inconsistent
📊 Mostly Accurate Kinematics in 2D — minor sign errors
✅ Strong Hold Vectors & Concept Understanding — correctly solved consistently

Weak Focus Strong

📌 Topic-wise Mistakes

Topic	Mistake Type	Frequency	Recommended Action
Projectile Motion	Formula misapplication, trajectory errors	High	Re-practice 10 numericals + visualize paths
Relative & Circular Motion	Vector misdirection, centripetal acceleration confusion	Medium	Diagram-based revision + AI hints
Kinematics in 2D	Sign errors	Low	Check velocity components each step
Vectors	None — consistent accuracy	Low	Maintain practice streak

🎯 Predicted Impact

Correcting weak topics could improve percentile by 5-8 points
Reducing minor mistakes in focus areas may gain 2-3 points
Strong topics maintain consistency — confidence index stays ~95%

🧠 How Neuraloop Identifies Mistakes

SharpRevise uses Neuraloop — a predictive AI engine that tracks Ravi’s responses across practice tests and mock exams. Neuraloop analyzes patterns such as:

Repeated mistakes in specific topics
Time spent per question
Confidence levels and past performance trends

By dynamically evaluating these parameters, Neuraloop flags weak, focus, and strong areas, then generates personalized recommendations to improve accuracy, speed, and exam readiness.