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Prof. Manal Elbelkasy
Prof. Manal Elbelkasy
Vice Dean at the Higher Institute for Management and Information Technology in Kafr El-Sheikh,
Session Topic:
Dr Mohamed Said Elsersy
Dr Mohamed Said Elsersy
Higher Colleges of Technology
AlAin, Abu Dhabi, UAE
Session Topic:
Smart Mobility and Artificial Intelligence: Driving Innovation and Sustainability
https://docs.google.com/presentation/d/1hUAUvd1zIHByPldeFmhr5ZOtA2dOzU6o/edit?usp=drive_link&ouid=107313126503560310081&rtpof=true&sd=true
Dr Ramadan Babers
Dr Ramadan Babers
Unit Manager at Telecom Egypt (WE)
Session Topic:
Unlocking the Power of Machine Learning: Challenges and Applications
Dr. Gideon Dadik Bibu
Dr. Gideon Dadik Bibu
Higher Colleges of Technology
AlAin, Abu Dhabi, UAE
Dr. Sameh Basha
Dr. Sameh Basha
Assistant Professor at Cairo University and Galala University
Session Topic:
Dr. Eman Siraj ElDin
Dr. Eman Siraj ElDin
Assistant Professor at the Network Planning Department of the National Telecommunications Institute under the Ministry of Communications and Information Technology
Session Topic:
School Student
Fouad Mostafa
Fouad Mostafa
12 Years Old
Project Description:
A radar system for object detection, a sensor that detects objects and measures the distance between them, then displays the data on a screen in a professional way.
Judy Mohamed
Judy Mohamed
13 Years Old
Project Description:
Hand Motion, originally tracked points on the hand. But Judy took it further. She modified the program to detect depth and contours in the hand, making the coordinates more precise and improving object recognition.
Fahd Waleed
Fahd Waleed
15 Years Old
Project Description:
Fahd developed his AI-powered camera system. His model uses a database-trained camera that can identify objects individually, accurately label each detected object, and even measure its exact dimensions.
Lian Mohamed
Lian Mohamed
15 Years Old
Project Description:
The idea behind the project is to protect drivers and people with medical conditions like diabetic coma, which can occur suddenly. Lian developed a smart camera that monitors the driver’s eyes. If the system detects that the driver is drowsy or unconscious, it triggers an alarm. If the driver doesn’t respond within a set time, the system takes full control of the car, safely pulling it over to the side of the road and sending an alert to the driver’s emergency contacts.
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