Ahmad Salloum
@ahmadsalloum
I build AI-powered embedded assistive systems for real-world accessibility challenges.
What I'm looking for
I designed Vega, an AI smart-glasses system for visually impaired users, combining Raspberry Pi hardware, YOLOv8 object detection, OpenCV, OCR, text-to-speech, GPS navigation, and vibration-based obstacle detection.
I'm a Computer and Communications Engineering graduate with a strong academic foundation in artificial intelligence, embedded systems, computer vision, networking, and software engineering. I also built a caregiver monitoring and emergency-alert web dashboard for Vega and presented the project to students and visitors while demonstrating AI and embedded-systems applications.
Experience
Work history, roles, and key accomplishments
Senior Graduation Project
Vega
Designed and developed an AI-powered wearable assistive system using Raspberry Pi, implementing real-time object detection with YOLOv8 and OpenCV, integrating OCR and text-to-speech, GPS navigation, and a web dashboard for caregiver monitoring.
Education
Degrees, certifications, and relevant coursework
Lebanese International University
Bachelor of Science, Computer and Communications Engineering
2023 -
Grade: 3.74/4.00
Pursuing a Bachelor of Science in Computer and Communications Engineering with a GPA of 3.74/4.00 and Honor List recognition.
Availability
Location
Authorized to work in
Job categories
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