A lightweight project that stores the Anatomical Therapeutic Chemical (ATC) drug classification data as JSON and provides easy access to the data, including mappings between Drug names, ATC codes, and DrugBank IDs, served via a CDN.

Drug response classification using Support Vector Machine (SVM) with EDA, feature engineering, hyperparameter tuning, and kernel comparison for healthcare analytics.

This COMP472 AI project implements text classification on BBC news articles and drug classification using various machine learning algorithms. It utilizes Python and scikit-learn to preprocess data, train models, and analyze performance, focusing on Naive Bayes, Decision Trees, and Neural Networks.

A web application for drug classification using machine learning, built with Laravel. This project aims to classify drug types based on user-provided data, leveraging modern web technologies and AI integration.

This Drug Classification project utilizes a Decision Tree Classifier to accurately predict prescribed medications based on patient health profiles. The implementation features a modular scikit-learn pipeline with a ColumnTransformer to handle various data types.

YOLOv5-Based Detection and Classification of Bangladeshi Local Drug: A Framework with Validation and Recommendation.