← Back to cohort

Khajasta Zainab

FAST · 2019 · i19-0468
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2019
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
Python, Visual Studio, TensorFlow, Flask, React, Firebase, OpenCV

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.
Group Members
i190468 Khajasta Zainab
i190656 Mahnoor Fazal
i190745 Ibrahim Bhatti

EMPATHY ASSIST
A tool for empathetic training of teachers based on Facial Expressions and Spoken Language

Technology Used:
Python, Visual Studio, TensorFlow, Flask, React, Firebase, OpenCV

Supervisor Name:
Dr. Atif Aftab Ahmed Jilani

Group Members:
Khajasta Zainab (i19 - 0468)
Mahnoor Fazal (i19 - 0656)
Ibrahim Bhatti (i19 - 0745)

AI enrichment

Khajasta Zainab is a BSCS student who contributed to a capstone project named 'Empathy Assist', an application for training teachers using facial expressions and spoken language. The project utilized a tech stack including Python, TensorFlow, Flask, React, and OpenCV.
Skills (AI)
["Python", "TensorFlow", "Flask", "React", "Firebase", "OpenCV", "Visual Studio"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 359
Created: 1778140212