Scotty Scheduler (Winner in the Google Deepmind AI Agents Hackathon, 2025 at CMU)

Data Resources

• syllabi_pdfs_fall2024ECE.zip: Fall 2024 ECE course syllabi
• syllabi_pdfs_spring2025ECE.zip: Spring 2025 ECE course syllabi

Getting Started

Prerequisites

• Python 3.x
• Required Python packages (to be added to requirements.txt)

Installation

1. Clone the repository:

git clone https://github.com/PRITH-S07/Scotty-Scheduler.git
cd Scotty-Scheduler

2. Install dependencies:

pip install -r requirements.txt

3. Extract the required data files:

• Unzip syllabi_pdfs_fall2024ECE.zip and syllabi_pdfs_spring2025ECE.zip in the data directory
• Extract stored_index.zip for pre-processed data

Usage

1. Run the main application:

python home.py

2. For inference testing:

python inference.py

Components

Syllabus Scraper

The syllabus_scraper.py tool extracts relevant information from course syllabi PDFs.

Inference System

The inference system (inference.py) processes course data and generates optimized schedules.

Data Processing

• Raw data is stored in the data/ directory
• Processed data is available in cleaned_data/