Abdullah Abbas
FAST
· 2019
·
19I-2179
Email
—
Phone
—
LinkedIn
—
GitHub
—
Academic
Program
BSCS
CGPA
—
Year
2019
Education
FAST NUCES
Address
—
DOB
—
Career
Current role
—
Target role
—
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.
Abdullah Abbas (i19 - 2179) | 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
Abdullah Abbas holds a BSCS degree and developed a drowsiness detection system using ResNet50, OpenCV, and React Native. His project involved analyzing eye, mouth, and head tilt data to detect driver fatigue.
Skills (AI)
["Python", "TensorFlow", "Keras", "OpenCV", "React Native", "ResNet50", "Anaconda", "Jupyter"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 363
Created: 1778170170