Syllabuddy AI is a web application that helps students organize their academic schedules by extracting structured data from syllabus documents. The system uses AI to parse PDF syllabi and generate a clean, organized schedule of assignments, quizzes, exams, and other tasks.

• Upload Syllabus: Upload PDF syllabus files to extract course schedules.
• Auto-Schedule Tasks: Automatically extract deadlines, assignments, and task descriptions using AI.
• View Assignment Schedule: Display a structured schedule of assignments and deadlines.
• Upcoming Tasks: View tasks grouped by week to stay on top of your workload.
• Edit and Save: Edit assignment details directly in the schedule and save changes.
• Export Schedule: Export the schedule for offline use or integration with calendar apps.

• Node.js (v16 or later)
• npm (Node Package Manager)

1. Clone the repository:

   git clone https://github.com/tungle2709/SyllaBuddy
   cd SyllaBuddy
   

2.Install dependencies:

 npm install

3.Start the server:

 node backend/sever.js

4.Open the application in your browser: http://localhost:4000

• Upload a PDF syllabus file using the upload form.

• Wait for the system to process the file. Once completed, you will be redirected to the Assignment Schedule page.

• View Assignment Schedule

• The Assignment Schedule page (result.html) displays a table of assignments, quizzes, exams, and other tasks for each course.

• View Upcoming Tasks

• The Upcoming Tasks page groups tasks by week and displays them in chronological order.

• Edit and Save

• On the Assignment Schedule page, you can edit assignment details directly in the table and save changes

***File Upload Requirements: Supported File Types: PDF File Size Limit: 10 MB

Content Requirements: The syllabus should include clear course names, assignment descriptions, due dates, and weights.