Muqeet Ullah Ghazi Khan
FAST
· 2019
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19I-0647
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
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Year
2019
Education
FAST NUCES
Address
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DOB
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Career
Current role
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Target role
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Skills
Python, Anaconda, Jupyter, TensorFlow, Keras, OpenCV, React Native
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
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Muqeet Ullah Ghazi Khan (i19 - 0647) | Eyes On Road | Drowsiness Detection System utilizing ResNet50 and based on eyes, mouth and head tilt for detection of drowsiness. | Technology Used: Python, Anaconda, Jupyter, TensorFlow, Keras, OpenCV, React Native
AI enrichment
Muqeet Ullah Ghazi Khan holds a BSCS degree and has developed a drowsiness detection system using ResNet50, OpenCV, and React Native. His technical background includes proficiency in Python, TensorFlow, and Keras for machine learning applications.
Skills (AI)
["Python", "TensorFlow", "Keras", "OpenCV", "React Native", "ResNet50", "Machine Learning", "Computer Vision"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 363
Created: 1778169248