Hi, I'm Yahya Alnwsany

Developed a mobile app for measuring respiration rate using machine learning algorithms. Provides accurate real-time respiration monitoring for healthcare and fitness applications.

Built an intelligent system using YOLO v8 for real-time helmet detection in transportation. Enhances road safety compliance by providing immediate feedback.

This model is a fine-tuned version of GPT-2, specifically trained on Arabic poetry. It generates Arabic poetry and can be used for creative writing, educational purposes, or research in natural language processing.

Developed an advanced image captioning system using deep learning techniques. The model generates descriptive captions for images, enabling applications in accessibility, content creation, and research.

Developed a topic classification system using deep learning techniques. This model categorizes text into predefined topics, enabling applications in content organization, research, and automation.

Shakespeare-YQG is a fine-tuned language model crafted to emulate the writing style of William Shakespeare. It generates creative and poetic texts, making it ideal for artistic projects, educational use, and entertaining exploration of Shakespearean language.

This project is a public initiative aimed at forecasting the weather for a specific single date. 🌦️🔮 Our goal is to provide accurate and reliable weather predictions to help individuals plan their activities effectively. Through advanced meteorological data and forecasting techniques, we aim to offer valuable insights into expected weather conditions for the chosen date.

This app summarizes text using the distilbart-cnn-12-6 model. It leverages Gradio for an interactive interface and depends on Transformers and Hugging Face Space for efficient text summarization.

This project analyzes movie reviews from IMDB to determine sentiment using TensorFlow datasets. It is designed to provide insights into audience opinions and can be used for sentiment analysis in various applications.

Yahya's first step into game development. While not highly creative, this project marks the beginning of a journey in programming and game design. It's a simple yet functional implementation of the classic Pong game.

This project aims to develop a machine learning model capable of detecting sarcasm in textual data, specifically utilizing headlines. By understanding sarcasm, the model enhances the capability of natural language processing applications in accurately interpreting user sentiments and emotions.

A simple Docker-based application demonstrating foundational concepts in containerization and deployment. This project serves as an introduction to Docker and Hugging Face Spaces integration.