Dashboard with History
Syllabus Upload
AI Analysis - Matched Role , Missing Skills , Upskilling Roadmap , Top Hiring Companies

SyllabiQ - AI Powered Smart Syllabus Analyzer

Inspiration

Most students spend years studying subjects without clearly understanding where those subjects can actually lead in the real world. A syllabus usually tells students what to study, but not why it matters for their future careers.

We noticed that many students struggle to connect academic learning with industry expectations. Even after completing courses, they are often unsure about:

what career roles fit their knowledge,
which important skills they are still missing,
and how prepared they are for the job market.

That is what inspired us to build SyllabiQ — a platform that converts syllabus content into practical career insights using AI.

What It Does

SyllabiQ helps students understand the real-world value of their academic syllabus.

Users can upload a syllabus PDF or paste syllabus text, and the platform analyzes the content to:

identify important topics and skills,
map them to relevant career paths,
detect missing industry-required skills,
and generate a personalized career analysis report.

The platform also provides a simple dashboard with visual insights so students can better understand their strengths, gaps, and possible career opportunities.

Instead of looking at a static syllabus document, students get a clearer picture of where their learning can take them.

How We Built It

We built SyllabiQ as a full-stack web application.

Frontend

React.js
Vite
Tailwind CSS
Framer Motion
Recharts

Backend

Node.js
Express.js
MongoDB Atlas
JWT Authentication

AI & Processing

Gemini AI
PDF text extraction
Prompt Engineering

Deployment & Tools

Render
Vercel
GitHub
Postman

The workflow starts with syllabus upload and text extraction. The extracted content is then processed through AI-based analysis to identify skills and compare them with career requirements. Finally, the platform generates insights and visual reports for the user.

Challenges We Faced

One of the biggest challenges was handling syllabus PDFs because different universities use completely different formats and structures.

Extracting meaningful skills from raw syllabus text was also difficult. Academic terminology does not always directly match industry terminology, so building useful career mapping required careful logic and processing.

We also faced challenges while:

integrating frontend and backend smoothly,
handling file uploads efficiently,
designing the dashboard UI,
and presenting complex analysis in a simple and understandable way.

Building an end-to-end working platform within limited hackathon time was itself a major challenge.

Accomplishments We’re Proud Of

We are proud that we successfully built a complete working platform that solves a real student problem.

Some key achievements include:

syllabus upload and analysis system,
AI-based career and skill mapping,
interactive analytics dashboard,
secure authentication system,
and personalized career insight generation.

More importantly, we created something that can genuinely help students make better academic and career decisions.

What We Learned

While building SyllabiQ, we learned a lot about:

full-stack application development,
AI integration,
PDF processing,
authentication systems,
API handling,
and database management.

Beyond technical skills, this project also taught us how important problem-solving, teamwork, debugging, and time management are during rapid product development.