Connect with me and explore my work:

• Portfolio Website: 🔗 mustafataha5.github.io
• GitHub Portfolio: 📂 My Repositories
• Email: 📧 mustafa.taha.mu95@gmail.com
• LinkedIn: 🔗 Mustafa Taha
• LeetCode: 🔗 user2128Dt

• 🔭 I'm blending AI/ML with full-stack development, working on projects like smart-ecommerce-ai-recommender and LinkUp.
• 🌱 Recently completed my Artificial Intelligence Nanodegree from Hsoub Academy (Certificate).
• 💡 I thrive on solving complex problems and sharing insights with the tech community.
• ✨ Fun Fact: Every dataset and line of code tells a unique story!

I build robust applications with a diverse set of tools:

As part of my Artificial Intelligence Nanodegree from Hsoub Academy, I built innovative AI solutions:

• Food Image Classifier | Computer Vision 🍔
  Developed a CNN model with TensorFlow/Keras for restaurant menu classification, handling web scraping, preprocessing, and training. Achieved 92% accuracy.

• Smart E-commerce AI Recommender | Recommendation & Forecasting 🛍️
  Built a Flask-based system with association rules and time series forecasting for personalized product suggestions and sales predictions. Improved engagement by 20%.

• Heart Attack Prediction | Healthcare ML ❤️
  Created a machine learning model using Scikit-learn and Pandas to predict heart attack risk, achieving 85% accuracy.

• Reinforcement Learning | Drone & Gaming AI 🚁🎮
  Implemented Q-learning for drone navigation in a custom Gymnasium environment and trained agents for Atari/Flappy Bird with Stable-Baselines3.

• NLP Projects | Sentiment & Classification 📝
  Built models for sentiment analysis (movies, Arabic tweets), spam detection, and fake news classification using BERT and RNNs (repo coming soon).

• Traffic Monitoring System | Computer Vision 🚗
  Developed car detection and license plate OCR with YOLO and OpenCV (repo coming soon).

• Intelligent Chatbots | Web Deployment 💬
  Created AI-powered chatbots using Streamlit and Flask/Django, integrated with ML models (repo coming soon).

My full-stack projects showcase scalable web and mobile applications: Here are some of my key projects demonstrating my full-stack capabilities and problem-solving approach:

• ReadEase | Online Book Store 📚 Built with Django and Jinja2, ReadEase is a platform for book enthusiasts to discover reviews and detailed book information. It features an AJAX-based smooth UI and robust validations.

• PalRent | Apartment Reservation System 🏡 This Spring Boot application simplifies apartment bookings in Palestine. Key features include secure authentication, comprehensive property management, advanced search filters, booking history, and a dedicated admin dashboard.

• LinkUp | Social Media Platform 🌐 A dynamic social media platform built on the MERN stack, LinkUp supports user authentication, post creation, and real-time updates for an engaging user experience.

• E-Commerce | Shopping Mall Web Application 🛍️ A full-stack application with a React-based admin panel and a Flutter client, leveraging Node.js and MongoDB. It offers dynamic mall navigation, real-time product availability, and comprehensive store/user management.

I'm always eager to collaborate on exciting projects or discuss new technologies. Feel free to reach out!