This is an innovative machine learning project that utilizes patient reviews with many other attributes to analyze and evaluate the effectiveness of drugs.
A molecular docking pipeline for the drug database against SARS-CoV2
Visualized medication plan on a Raspberry Pi 3
This Python script scrapes drug-related information from the "Talk to Frank" website and saves the extracted data in both JSON and YAML formats. It utilizes the `requests` library to fetch the webpage, `BeautifulSoup` for HTML parsing, and `json` and `yaml` libraries for data storage.
Implementation of Drug database with LinearSVC, BernoulliNB, MultinomialNB, LogisticRegression, Perceptron and MLPClassifier models
A molecular docking pipeline for the drug database against SARS-CoV2
Automated pipeline for extracting drug safety information from FDA Structured Product Labels (SPL) using NLP and MedDRA mapping for pharmacovigilance research.
Egyptian drug database (May 2026) — 24,868 medicines with Arabic + English trade names, scientific composition, manufacturer, drug class, route, and EGP price. CSV + JSON. CC0. قاعدة بيانات الأدوية المصرية
AI-powered medicine database and drug interaction checker with Indian medicines and mental health focus
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