exam-forecast

Exam forecasting analyzes past exams to identify recurring subject coverage, question style, and fact-pattern density from the same professor. It generates a study-weighted plan by combining historical exam patterns with your current syllabus.

Syllabus-aligned study planning combines your current syllabus with historical exam patterns to produce a study-time weighting heuristic. This approach generates a forecast file that prioritizes subjects based on past professor emphasis rather than guessing exact questions.

Yes, you can load past exams in PDF, pasted text, or file paths to extract format and topic patterns. The analysis detects a professor fingerprint by surfacing repeat traps and favored hypo structures from the provided documents.

Exam pattern analysis breaks down prior exams to identify the policy-versus-doctrine balance in a professor's testing style. It extracts topic patterns and question-style expectations to frame a weighting heuristic for your study plan.

Exam forecasting frames results as weighting heuristics with uncertainty and includes thin-sample caveats. It requires loading class context from a configured CLAUDE.md file and is limited by the number of past exams you provide.