← Back to cohort

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 focused on analyzing eyes, mouth, and head tilt to identify 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.pdf
From job #14 page 363
Created: 1778140212