TensorFlow and Image Processing Project

This project-based session focuses on utilizing **Google’s TensorFlow** for advanced **image processing and computer vision** applications. As part of an **AI initiative**, participants will explore various techniques such as **image classification, object detection, image segmentation, and enhancement** using deep learning models. The session will introduce **Convolutional Neural Networks (CNNs)** and pre-trained models like **MobileNet, ResNet, and YOLO**, enabling attendees to analyze and process images effectively.

Held in  Hall 5 at the Faculty of Computers and Information, Suez University, this event provides a hands-on learning experience where students and AI enthusiasts will work on real-world image processing challenges. The session will cover essential tools such as **TensorFlow, Keras, OpenCV, and NumPy, focusing on optimizing accuracy and performance in AI-driven applications like **face recognition, medical imaging, autonomous driving, and image restoration.

This interactive session aims to equip participants with **practical skills in AI and deep learning**, preparing them for future innovations in the field of computer vision. 🚀