📚 Syllabus AI

🚀 Inspiration

Our journey began with a universal student challenge: the syllabus. For many, it's a daunting document—a wall of text with vital information buried in legalistic jargon. We've all experienced the frantic search for a due date, the missed office hours, or confusion over grading policies.

We realized this manual, time-consuming process is a source of academic stress and a barrier to proactive planning. This led to our core inspiration:

What if we could democratize this information—making every key detail of a course instantly accessible and understandable?

We saw an opportunity to transform the static syllabus into an interactive, dynamic tool, directly addressing the UN’s SDG 4.4: increasing youth skills for employment, decent jobs, and entrepreneurship.

💡 What It Does

Syllabus AI is a multi-feature platform that transforms any syllabus into a personalized study hub. Here’s what it offers:

🎯 Intelligent Summarization
Extracts and highlights key details like instructor info, course objectives, and grading policies.
📆 Dynamic Deadlines & Alerts
Auto-generates a customizable calendar with due dates and exams. Push notifications help users stay on track.
🧠 Personalized Study Plan
Suggests weekly plans based on assignment weights and course structure.
💬 Interactive Q&A Chat
Students can ask syllabus-specific questions like “What’s the late work policy?” and get instant, accurate AI answers.

🏗️ How We Built It

🔹 Frontend

Built using React for rapid UI development and seamless file uploads + AI interaction.

🔹 Backend

Django powers backend logic and APIs.
PostgreSQL ensures secure and reliable data storage.

🔹 AI & ML Pipeline

PDF Parsing: Extracts raw syllabus content.
Information Extraction: A fine-tuned LLM identifies course details like dates, names, policies.
Q&A System:
- Uses a vector database + RAG (Retrieval-Augmented Generation) to answer questions with syllabus-specific context and zero hallucinations.

🔹 Deployment

Hosted on a cloud platform for global accessibility and scalability.

🧗 Challenges We Ran Into

Unstructured Data Variability
No two syllabi are the same. Regex and basic NLP failed. We solved it using context-aware LLMs + prompt engineering.
Accuracy & Reliability
A wrong due date is worse than none. We implemented multi-stage validation with a second model for cross-verification.
Novel UX Design
Iterated based on real user feedback. Introduced features like Q&A and calendar after testing the initial MVP.

🏆 Accomplishments We’re Proud Of

Built a Scalable AI Pipeline that can handle unpredictable syllabus formats.
Created a Unique User Experience that moves beyond summarization into actionable planning.
Solved a Real-World Problem that every student faces, with a meaningful tech solution.

🎓 What We Learned

Prompt Engineering is Powerful
Crafting the right prompts unlocked the true potential of our LLM.
Iterative Development is Key
Listening to users helped us evolve from a tool to a true assistant.
Robustness is Essential
With academic deadlines on the line, our backend had to be resilient and error-proof.

🔮 What’s Next for Syllabus AI

LMS Integration
Plug into systems like Canvas or Blackboard for automatic syllabus ingestion.
Document Expansion
Extend summarization to research papers, legal documents, and more.
Academic Assistant Vision
A complete student companion for:
- Time blocking
- Project planning
- Study group matching