MomenTarek

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Advanced chatbot that recognizes and analyzes topics from user conversations using natural language processing and machine learning algorithms.

AI-based system for detecting dental issues from X-ray images using deep learning models like YOLOv5, YOLOv8, and Faster R-CNN for high accuracy.

Created a deep learning model for detecting skin cancer using CNNs, achieving a classification accuracy of 78% based on medical image datasets.

Applied various clustering ML algorithms to segment mall customers and evaluated all models' performance and accuracy.

Segmented customers using clustering techniques based on purchasing behavior and demographics to develop targeted marketing campaigns.

Used OpenCV to create a real-time object detection model, enabling practical applications in surveillance and automation.

Developed an AI chatbot that extracts and interacts with text from PDF documents using OpenAI's LLM, allowing efficient document analysis.

Applied various classification ML algorithms to predict telecom customer churn and evaluated all models' accuracy.

Selected the most efficient model for predicting house prices with high performance and accuracy, evaluating multiple regression models.

Developed an automatic bot using Python and Google Cloud Console with Selenium, running on a Linux virtual machine for daily gym reservations.

Created an Android application using Java and Android Studio to calculate ticket prices for trips to museums in NYC with a custom UI.

Designed a banking transaction system using Java and JavaFX to simulate common functions like creating accounts and deposits.

Built AI systems for speech recognition and text-to-speech conversion, enhancing accessibility and automation.

Transforms 2D facial sketches and images into realistic 3D face models using generative AI and depth prediction by combining GANs and MiDaS-DPT architectures.

Built an intelligent medical AI agent using LlamaIndex, Groq's LLaMA 3.3 7B, and HuggingFace Embeddings. The agent can answer questions about medical records and provide intelligent insights.

Built as a full-stack ready prototype with Python and image processing, enabling virtual try-on experiences with containerized deployment for e-commerce applications.

AI-powered multimodal system that generates images from voice or text input using deep learning and generative adversarial networks (GANs) for creative content generation.

Built a web service for collecting and loading data from multiple sources, processing employee and country information and exporting as JSON files.

Built a book recommendation system using K-Nearest Neighbors (KNN) algorithm, providing personalized book suggestions based on user preferences and reading history.

Automated web scraping project that collects weather data and book information from multiple websites, then stores the data in CSV files and databases for analysis.

Comprehensive exploratory data analysis (EDA) project on TMDB movie dataset with data visualization, preprocessing, and insights into movie trends and patterns.

Applied comprehensive data preprocessing techniques including feature selection, data cleansing, and feature engineering on loan dataset for machine learning models.