Flagship Release

SyllabusAI

Transform static syllabus PDFs into dynamic, actionable study timelines in seconds.

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Technical Documentation

The Problem: Students struggle to manually extract dates, assignments, and grading rubrics from complex, unstructured 15-page syllabus PDFs.

The Solution: A highly-optimized pipeline that extracts text from PDFs and leverages LLMs to semantically parse academic requirements, generating calendar events and structured task lists instantly.

Core Stack Payload

{
"architecture": "Document Intelligence Pipeline",
"parsing": "OCR + Semantic Extraction",
"model": "GPT-4o Document Vision",
"output": "Structured JSON + iCal"
}
> Uploading syllabus.pdf...
Parsed 42 topics successfully
> Analyzing time constraints...
> Generating weekly breakdown...
Study plan optimized

How the Platform Works

1

Upload

Drag and drop your syllabus in PDF, Word, or image format directly into the secure interface.

2

Parse

Bespoke LLMs extract topics, exam dates, assignments, and reading lists with high accuracy.

3

Generate

Get an interactive, structured study calendar and timeline tailored to your course load.

Built for the Modern Academic Workload

"I built this because tracking multiple syllabi and deadlines is a massive friction point for students. SyllabusAI transforms static documents into dynamic learning roadmaps."

— Naila Shaikh, Founder @ SystemAILabs.org

Ready to optimize your study schedule?

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