README.md

Find My Major

A tool for matching student interests to areas of study.

Getting Started

1. Set up python environment:

conda env create --file environment.yml
conda activate csc-570

Project Layout

• embeddings: Sklearn-style transformers that encode natural language into latent embedding vectors.
• classifers: Model architectures for classifying college majors.
• test.py: Evaluation and demo code for all models.
• train.py: Training loops for models.
• helper.py: Utility methods for loading and preprocessing data

Command Line Demo

Run the demo() function in test.py

Web Server

The web server provides a RESTful API for getting major recommendations:

python api.py
curl --location --request POST 'http://127.0.0.1:5000/recommend' \
--header 'Content-Type: application/json' \
--data-raw '{
    "data": "Construction is cool!"
}'

...

[
    "Construction Management",
    "Architectural Engineering",
    "City and Regional Planning"
]
``