exam-forecast

To predict exam focus from past papers, you provide multiple historical exam files and optionally the current syllabus. The system analyzes topic coverage, question styles, and repeated traps to generate a weight-based study forecast.

Yes, you can analyze past exam PDFs to find repeated patterns. The system mines formatting, topic coverage, case fact density, and the policy-vs-code balance across multiple historical exam files to extract repeatable question structures.

You align your study plan by combining historical exam frequency signals with the current teaching syllabus. The system compares topic coverage between past papers and the syllabus to recommend priority emphasis rather than guessing specific questions.

When forecasting law exam emphasis with few past papers, the system applies uncertainty-aware forecasting. It produces explicit confidence discipline and qualitative uncertainty notes so you understand the reliability limits of a small sample size.

No, the exam prediction output does not tell you exact questions. It produces a curriculum-weighted study forecast that recommends time allocation across topics, such as identifying where a teacher repeatedly hides jurisdiction or exception issues.

You can use PDF files, pasted text, or file paths for past paper analysis. The system processes these inputs to extract historical patterns and saves the final prioritized study forecast to a configured output file path.