OBADA TAHAYNA's repositories
Q-and-Arabic
Q&Arabic is an NLP framework that generates Arabic FAQs from a given material. The project uses deep learning models (BERT and T5) and includes a detailed report and brief presentation covering the system analysis, related work, and future plans.
RoverRental
Rover Rental is a car rental app connecting users to rent cars from each other. Offers a user-friendly interface for searching and booking rentals and managing car listings. Built with Java and Android Studio, uses Firebase for data storage and retrieval. Convenient solution for car rental needs, whether you're a user or car owner.
Arabic-Plagiarism-Detector-Using-NLP
This project includes tools for preprocessing corpus, building a language model, and detecting plagiarism using the resulting language patterns. The project also features a JavaFX interface for easy use.
Arabic-Tweets-Scraper
This project is a python script that utilizes the snscrape library and multithreading to efficiently scrape Arabic tweets from Twitter. The use of multithreading improves the performance of the script, enabling the collection of a larger number of tweets.
LeetCode
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub](https://github.com/QasimWani/LeetHub)
Predicting-Dwelling-Type-Using-DecisionTree
Predicting dwelling type using Decision Tree algorithm on a surveyed data set. The project includes feature selection, pre-processing and model evaluation.
Arabic-Translated-WikiSQL
WikiSQL translated to Arabic using Turjuman
Sentiment-Analysis-of-Twitter-Emotions-using-ML
This sentiment analysis project extracts features such as content length, tokens, hashtags, bad words, and various emojis. It also includes word features. Preprocessing steps include removing stop words, non-Arabic characters, consecutive redundant characters, and stemming to improve the models' accuracy in classifying the tweets. Max accuracy 88%.