Stars
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…
My Readme where you can find some information about me.
Personal developer portfolio built with React, Vite, and Tailwind CSS to showcase projects, skills, and learning journey.
Created an interactive navigation menu using HTML, CSS, and JavaScript that dynamically changes color and style when scrolled or when hovering over menu items. Achievements include structuring the …
Created a dynamic stopwatch web app using HTML, CSS, and JavaScript, featuring start, stop, reset, and lap time recording. Achievements include visually appealing design, JavaScript controls for th…
Developed a dynamic Tic-Tac-Toe web app using HTML, CSS, and JavaScript. Highlights include creating game control functions for fair and enjoyable gameplay and managing player turns with JavaScript…
Created a personal portfolio website that showcases my journey as a Web Development intern, along with highlighting my skills, projects, and general accomplishments.
This project utilizes the OpenWeatherMap API to provide real-time weather data for user-specified cities through a user-friendly interface. It displays current weather conditions, temperature, humi…
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 …