Hammad Khan
FAST
· 2019
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19I-2036
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
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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
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Hammad Khan (i19 - 2036) | 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
Hammad Khan is a BSCS graduate who developed a drowsiness detection system using ResNet50 and computer vision techniques. The project involved analyzing eye, mouth, and head tilt data to identify driver fatigue.
Skills (AI)
["Python", "TensorFlow", "Keras", "OpenCV", "ResNet50", "React Native", "Anaconda", "Jupyter"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 363
Created: 1778169842