Config files for my GitHub profile.

Full-stack AI Health Assistant featuring disease diagnostic modeling, medication recommendation systems, and real-time analyst dashboards. Implements JWT auth, RBAC security, and automated email ve…

WilfireGuard AI App

Abstractive Text Summarization using Transformers fine-tuned on the CNN/DailyMail dataset with PyTorch & Hugging Face.

Arabic Text Classification pipeline leveraging specialized Arabic NLP techniques and Deep Learning architectures (PyTorch) for high-accuracy document categorization.

Complete NLP text classification pipeline with Random Forest - binary, multi-class, and multi-label classification implementations including preprocessing, vectorization, cross-validation, and hype…

A web application for text analysis and preprocessing. Users can input text and apply NLP techniques like tokenization, stop word removal, stemming, and POS tagging. Features an intuitive interface…

A comprehensive Support Vector Machine (SVM) implementation for binary classification of mushrooms as edible vs. poisonous. Features data preprocessing, multiple kernel testing, and hyperparameter …

A complete Bag of Words pipeline built with Python, NLTK, and spaCy. It demonstrates text preprocessing (tokenization, lowercasing, stopword removal, lemmatization) and converts text into numerical…

A Python implementation of the rectangle method for approximating definite integrals of continuous functions.

A hands-on guide to transforming raw text into numerical data! Covers essential NLP steps like cleaning, stemming/lemmatization, and creating word vectors using One-Hot Encoding.

ML project comparing Ridge & Lasso regression to predict baseball player salaries. Includes EDA, feature engineering, and regularization techniques to handle multicollinearity and overfitting.

A machine learning project that predicts Boston housing prices using XGBoost regression. Features comprehensive data analysis, correlation studies, and model implementation to identify key factors …

A machine learning project that uses Support Vector Machine (SVM) to predict diabetes based on patient health metrics. Processes the PIMA Diabetes Dataset with 8 medical features to classify patien…

A machine learning project that uses Logistic Regression to classify underwater objects as rocks 🗿 or mines 💣 based on sonar signal data. Processes 60 frequency features from the UCI Sonar Dataset …

A modern, feature-rich mobile application built with the Flutter framework, designed to revolutionize the way a restaurant presents its menu to customers. The app moves beyond a simple digital PDF …