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 SyllabusAI Works

1

Upload

Simply upload your complex course syllabus in PDF format.

2

Parse

Our LLM pipeline instantly extracts key dates, reading assignments, and grading rubrics.

3

Plan

Receive a dynamic, structured study timeline that integrates directly into your calendar.

Built for the Unstructured Coursework

"I built this because manually creating a schedule from a 15-page syllabus is tedious. This tool instantly gives you a clear roadmap."

— Naila Shaikh, Founder @ SystemAILabs.org

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