Usama Mehmood
FAST
· 2021
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i17 - 0011
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Academic
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Year
2021
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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)
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdfFrom job #24 page 224
Created: 1778226128