exam-ingest

To organize scattered course materials for exam preparation automatically, run the ingest.py script. It parses PDFs and text files, structuring them into a unified knowledge base with study plans.

Building a study knowledge base from past exam PDFs is handled by automated workspace initialization. It parses your PDFs using pdfplumber and pypdf to extract and structure quizzes and study materials.

Yes, you can use Python to structure text files and past exams into a study plan. The workspace initialization script processes these input files to automatically generate a structured knowledge base.

Yes, the exam-prep workspace initialization requires pdf2image, along with pypdf and pdfplumber, to properly parse and structure your course materials and past exam documents.

When parsing course materials with pdfplumber, limitations depend on the input file structure. The tool requires Python scripts and a temporary JSON input file to correctly initialize the educational workspace.

Automated exam-ingest handles workspace initialization by parsing a temporary JSON input to locate student materials. It then uses Python scripts to automatically organize files into a structured knowledge base.