Yaya Momt - Portfolio

Skills & Technologies

My skills and expertise in a look

Python

Swift

JavaScript

React

Docker

AWS

🧠

AI & Deep Learning

Deep Learning Models (CNNs & RNNs)

TensorFlow

PyTorch

Scikit-Learn

LLMs

🌐

Web Development

HTML

CSS

Tailwind CSS

JavaScript

React

Flask

📊

Data Analysis & Visualization

Machine Learning Algorithms

SQL

Tableau

☁️

Cloud & DevOps

Amazon Web Service (AWS)

Google Cloud Platform (GCP)

Docker

⚡️

Soft Skills

Problem-Solving

Lifelong Learning

Creativity

Teamwork

Featured Projects

Some of my recent work and personal projects

🚀

AI Image

AI Image is a web application for image detection and enhancement. The detection model is YOLO, and the enhancement is done using the OpenCV (cv2) library.

🔍

Scape InOut

Fully accessible audio escape room game. I participated in this project during my journey in thr Apple Developer Academy.

🧠

AI Chatbot

PandasAI Prompt Analyzer is analyzing your dataset with your prompts, its made on the streamlit.

✨

MAGIC

Magic project is about digitalizing the ancient books and manuscripts. I am responsible for developing the website and increase the readability of the books with AI models.

Publications

Research work and academic contributions

📄

Modular Pipeline for Text Recognition in Early Printed Books Using Kraken and ByT5

2025

J. Electronics

Authors: Yahya Momtaz, et al.

This research presents a modular pipeline for text recognition in early printed books, leveraging advanced machine learning models including Kraken and ByT5 to improve the accuracy of OCR systems for historical documents.

DOI: https://doi.org/10.3390/electronics14153083

📊

Preserving Clarity: The MAGIC project approach to ancient manuscripts

2025

Presented at AIUCD Conference, Verona, Italy

Authors: Yahya Momtaz, et al.

Conference paper focusing on leveraging AI and web technologies to enhance access to ancient books and cultural heritage through the MAGIC project approach.

📄

Minimizing Bleed-Through Effect in Medieval Manuscripts with Machine Learning and Robust Statistics

2025

J. Imaging

Authors: Adriano Ettari, Massimo Brescia, Stefania Conte, Yahya Momtaz, Guido Russo

This study presents novel approaches using machine learning and robust statistical methods to minimize the bleed-through effect commonly found in medieval manuscripts, improving document digitization quality.

DOI: https://doi.org/10.3390/jimaging11050136

📄

Content representation and analysis: the Magic Project and the Illuminated Dante Project integrated systems for multimedia information retrieval

2024

Authors: Stefania Conte, Yahya Momtaz, et al.

This work explores integrated systems for multimedia information retrieval through the Magic Project and Illuminated Dante Project, focusing on advanced content representation and analysis techniques for cultural heritage materials.