Story 2: PYQ Trend Analysis & Predictions
| Field | Value |
|---|---|
| Story ID | NGE-18-2 |
| Story Points | 21 |
| Sprint | Sprint 29-30 |
User Story​
As a Student
I want AI to analyze 10+ years of CBSE papers
So that I can focus on high-probability topics
ML Pipeline​
- Ethical PYQ collection from cbse.gov.in
- NLP topic extraction (spaCy)
- Question clustering (Sentence Transformers)
- Trend calculation with probability scores
Disclaimer​
"Predictions based on historical patterns only. Actual exam content may vary."