Your AI-powered academic calendar assistant

Syllabize helps students stay organized by automatically extracting key dates (assignments, exams, readings) from course syllabi and populating their digital calendar with reminders and deadlines.

This project consists of two main components:

1. NLP_AI_reader.py - Python backend for PDF parsing and keyword extraction
2. SyllabizePrototype2.dart - Flutter mobile application frontend

Python script that uses PyMuPDF to extract text and tables from PDF syllabus files, identifying key information through keyword matching.

• Text Extraction: Searches entire PDF for lines containing specified keywords
• Table Detection: Identifies tables within PDFs and extracts rows where keywords appear in any cell
• Keyword Matching: Case-insensitive keyword search across both regular text and table data
• Structured Output: Returns page numbers, line/row content, and table indices

pip install PyMuPDF

# Define your keywords
keywords = ["assignment", "exam", "due date", "midterm", "quiz"]

# Specify PDF path
pdf_file = "syllabus.pdf"

# Extract lines with keywords
matched_lines = extract_lines_with_keywords(pdf_file, keywords)

# Extract table rows with keywords
table_results = extract_table_rows_with_keywords(pdf_file, keywords)

Extracts full text lines containing any of the specified keywords.

Returns: List of tuples (page_number, line_text)

Detects tables and extracts entire rows when keywords are found in any cell.

Returns: List of tuples (page_number, table_index, row_data)

EXTRACTING LINES WITH KEYWORDS
==============================================================
Found 3 matching lines:

Page 2: Assignment 1 due October 15th
Page 3: Midterm exam scheduled for November 3rd
Page 5: Final project submission deadline: December 10th

EXTRACTING TABLE ROWS WITH KEYWORDS
==============================================================
Found 2 matching table rows:

Page 4, Table 1:
  Row: Week 5 | October 15 | Assignment 1 Due | 20% of grade

Page 4, Table 1:
  Row: Week 8 | November 3 | Midterm Exam | Chapters 1-5

Flutter mobile application providing a user-friendly interface for syllabus upload, event review, and calendar synchronization.

• Welcome screen with app branding
• Feature highlights (Upload, AI Extraction, Calendar Sync)
• Get Started and Sign In buttons

• Drag-and-drop syllabus upload interface
• Supports PDF, DOCX, and TXT formats
• File picker integration

• Display AI-extracted events (assignments, exams, readings)
• Color-coded event types:
  • 🔴 Exams (Red)
  • 🟠 Assignments (Orange)
  • 🟢 Readings (Green)
• Checkbox selection for events to sync
• Edit functionality for individual events
• "Sync All" button for calendar integration

• Upcoming deadlines with countdown
• Course overview with task counts
• Quick access to all activities

• Calendar integration options (Google, Outlook, Apple)
• Notification preferences
• Reminder customization
• Version and privacy information

• Flutter SDK (3.0+)
• Dart 3.0+
• Android Studio or Xcode

# Clone repository
git clone https://github.com/yourusername/syllabize.git
cd syllabize

# Install dependencies
flutter pub get

# Run the app
flutter run

LandingPage
    ↓
HomeScreen (Bottom Navigation)
    ├── UploadScreen → ReviewScreen
    ├── DashboardScreen
    └── SettingsScreen

Sample Event Data Structure:

{
  'title': 'Essay 1: Critical Analysis',
  'date': DateTime(2025, 10, 15),
  'type': 'Assignment',
  'description': '5-7 pages on selected topic',
  'selected': true,
}

┌─────────────────────┐
│  Flutter App (UI)   │
│  SyllabizePrototype │
└──────────┬──────────┘
           │
           │ File Upload
           ↓
┌─────────────────────┐
│   Backend API       │
│   (To be built)     │
└──────────┬──────────┘
           │
           │ PDF Processing
           ↓
┌─────────────────────┐
│  NLP_AI_reader.py   │
│  PyMuPDF + Keywords │
└──────────┬──────────┘
           │
           │ Extracted Data
           ↓
┌─────────────────────┐
│  Calendar APIs      │
│  Google/Outlook/    │
│  Apple Calendar     │
└─────────────────────┘

# Edit keywords in NLP_AI_reader.py
keywords = ["assignment", "exam", "quiz", "project"]

# Run the script
python NLP_AI_reader.py

# Start the app
flutter run

# Or for specific platform
flutter run -d ios      # iOS
flutter run -d android  # Android
flutter run -d chrome   # Web (testing)

• Python PDF parser with keyword extraction
• Table detection and row extraction
• Flutter UI with all screens
• Landing page and navigation
• Backend API development (Flask/FastAPI)
• Connect Flutter to Python backend

• Advanced NLP for date parsing
• Event type classification
• Course name detection
• Assignment weight extraction

• Google Calendar API
• Microsoft Outlook API
• Apple Calendar sync
• iCal export option

• File upload functionality
• Push notifications
• Progress tracking
• Multi-course management
• Cloud storage integration

Backend:

• Python 3.8+
• PyMuPDF (fitz) for PDF processing
• Future: Flask/FastAPI for REST API

Frontend:

• Flutter 3.0+
• Material Design 3
• Dart 3.0+

APIs (Planned):

• Google Calendar API
• Microsoft Graph API (Outlook)
• Apple Calendar

syllabize/
├── NLP_AI_reader.py              # Backend PDF parser
├── SyllabizePrototype2.dart      # Flutter app
├── README.md                     # This file
└── (future)
    ├── backend/
    │   ├── api/
    │   ├── models/
    │   └── services/
    └── frontend/
        ├── lib/
        ├── assets/
        └── test/

1. Fork the project
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

• Secure file handling with automatic deletion after processing
• No permanent storage of syllabus content
• Calendar access only with explicit user permission
• Data encryption in transit
• Local processing when possible

This project is licensed under the MIT License.

For questions or support, please open an issue on GitHub

Made with ❤️ for students by students