Sheikh Ibrar · imagine-talent

Email

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2021

Education

SEECS

Address

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DOB

—

Career

Current role

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Target role

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Skills

Pytorch, Python, Flask, HTML, CSS, 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.

PowerUI 
We envision to create a product that can perform black box testing of UI display issues of mobile 
apps with the flexibility to detect 5 most common issues in the mobile UIs and supports different 
mobile platforms. There issues are kept in mind that affects the user experience adversely. Most 
such testing apps are focused on testing system level issues such as crashes or out of bounds issues. 
Our project will make UX better by helping developers find the bug so that users don’t leave the 
app because of these small issues that are usually overlooked. Therefore, it will be beneficial for 
businesses. 
Following are the features that are present in our project: 
 Exploring App 
 Issue Detection 
 Issue Localisation 
Web based Front-End 
 
 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
Pytorch, Python, Flask, HTML, CSS, OpenCV 
Supervisor Name: 
Dr. Atif Jilani 
Group Members:   
Usama Mehmood (i17 - 0011) 
Sheikh Ibrar (i17 - 0192)

AI enrichment

Sheikh Ibrar is a BSCS graduate who contributed to a university project focused on black box testing for mobile UI issues using computer vision. The project utilized PyTorch, Python, and Flask to detect and localize common UX problems across different mobile platforms.

Skills (AI)

["Python", "PyTorch", "Flask", "OpenCV", "HTML", "CSS", "Mobile UI Testing", "Computer Vision"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 224
Created: 1778144136