OmarNouih

FSTStudentServices

FST Student Service is a comprehensive web portal for the FST CHAOUIA, offering students and faculty streamlined access to essential academic resources, schedules, events, and document management services. Developed to enhance user experience through intuitive navigation and real-time updates.

GourmetPlace

GourmetPlace is a beginner-friendly restaurant website developed using PHP, HTML, and CSS. It includes online reservations, a dynamic menu, event details, and an 'About Us' page. This project combines simple design with essential features for an introductory web development experience.

Metaheuristic-Algorithms

This repository contains Python implementations, presentation materials, and reference articles for three optimization algorithms: Improved Atom Search Optimization (IASO), Social Mimetic Optimizer (SMO), and Barnacles Mating Optimizer (BMO).

NLP_LAB1

This repository demonstrates web scraping and NLP techniques, including data extraction from a website, storage in MongoDB, and an NLP pipeline with tokenization, stop words removal, normalization, stemming, lemmatization, POS tagging, and Named Entity Recognition. Libraries used are requests, Beautiful Soup, pymongo, nltk, qalsadi, and Farasa.

NLP_LAB2

This notebook explores the application of Regex and embedding techniques in Arabic Natural Language Processing (NLP). It covers the use of regular expressions for text parsing tasks and delves into various word embedding methods, including Word2Vec and FastText, for semantic analysis and representation of Arabic text data.

NLP_LAB3

Explore NLP model evaluation on answer scores and tweet sentiment. Features preprocessing, BoW, TF-IDF, Word2Vec, and models like Linear Regression, Decision Tree, SVM, Logistic Regression, and Random Forest.

NLP_LAB4

Arabic text regression with various models, GPT-2 text generation, and BERT-based text classification.

OmarNouih

Twitter-Streams

Real-Time Sentiment Analysis on Twitter Streams is a web application that categorizes tweets into sentiments like Negative, Positive, Neutral, or Irrelevant. Built using Apache Kafka , Spark and PySpark ML models, it offers real-time analysis capabilities.

VersaLearn

A Comprehensive Data Analysis and Machine Learning Toolkit

Portfolio