Generated by SharpRevise Neuraloop Intelligence
91.3
~85,000
88%
| College | Branch | Closing Rank | Prediction Confidence |
|---|---|---|---|
| NIT Raipur | Mechanical Engineering | ~87,000 | β High (92%) |
| Percentile | Predicted Rank | Possible Colleges | AI Confidence |
|---|---|---|---|
| 94.0 | ~55,000 | NIT Nagpur, IIIT Pune, LNMIIT Jaipur | π΅ 87% |
| 97.0 | ~28,000 | NIT Trichy, IIIT Hyderabad, VIT Vellore (CSE) | π’ 90% |
| 99.0 | ~10,000 | IIT BHU, NIT Surathkal, IIIT Delhi | π’ 94% |
SharpRevise AI uses a proprietary intelligence engine called Neuraloop, designed to analyze student performance, past exam data, and live percentile trends. Neuraloop dynamically adjusts predictions based on topic accuracy, time per question, and performance in key JEE domains like Physics, Chemistry, and Mathematics.
Instead of relying on static cutoffs, Neuraloop continuously learns from data to simulate thousands of rank outcomes β giving Ravi personalized college predictions with realistic percentile sensitivity.
βοΈ In short: itβs like having an AI counselor that studies your strengths, replays your mock data, and forecasts where your percentile journey could take you.