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Hammad Khan

FAST · 2019 · 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
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). This is what powers semantic search. 
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 computer vision and deep learning techniques. The project utilized ResNet50 for analyzing eye, mouth, and head tilt data, implemented with Python-based AI frameworks and React Native.
Skills (AI)
["Python", "TensorFlow", "Keras", "OpenCV", "React Native", "ResNet50", "Computer Vision", "Deep Learning", "Anaconda", "Jupyter"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 363
Created: 1778170170