README.md

Sinhala Dyslexia Binary Essay Classifier

This repository contains a binary dyslexia detection model for Sinhala essays.

Model Overview

• Task: Binary dyslexia classification (Dyslexic vs Non-Dyslexic)
• Level: Essay-level (sentence aggregation)
• Feature Extraction: Character-level TF-IDF (2–4 grams)
• Classifier: Logistic Regression

Files

• dyslexia_binary_model.pkl – Trained binary classifier
• tfidf_vectorizer.pkl – TF-IDF vectorizer used during training

Usage

import joblib

model = joblib.load("dyslexia_binary_model.pkl")
vectorizer = joblib.load("tfidf_vectorizer.pkl")