ILR Classifier
UCF Collaboration with The National Security Agency

portfolio

Project Overview

TensorFlow

Keras

Supabase

spaCy

Python

TextStat

Pandas & NumPy

FastAPI

HuggingFace

CUDA

Uvicorn

The ILR Predictor is a deep learning-powered tool designed to analyze text complexity and linguistic features to predict the minimum Interagency Language Roundtable (ILR) proficiency level required to understand a given text. Has support in multiple languages and auto-detects input language using spaCy, refining user experience. Partnership with the DLIFLC and the NSA to aid in automating the process for creating DLPT exams.

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