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M. Hassam Asif

FAST · 2021 · i17 - 0007

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Phone

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GitHub

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Academic

Program

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CGPA

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Year

2021

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

PyTorch, Selenium, MYSQL, Angular, Django Web framework, GitHub

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.

Fashion Hunt 
Fashion Hunt is a web application based on deep learning and image processing that allows the 
users to search desired clothing items available online. 
User can upload image that has his/her desired clothing. After uploading, the System will perform 
image segmentation and convert it into multiple clothing segments. The user can view the 
segmented images separately and can select the required clothing segment. The System retrieves 
similar images based on closeness and then recommends links where the selected clothing item can 
be purchased. Each link will have complete information about its respective clothing e.g. price, 
availability, size etc. The user can make buying decisions after comparing different links based on 
color, price etc. 
Features include: 
● Giving the user an intuitive interface where users can upload an image 
● System will display segmented images of the original image  
● User can select any segment and system will output visually similar images and links 
Users can view a list of ecommerce websites where they can buy desired clothing online 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
PyTorch, Selenium, MYSQL,  
Angular ,Django Web framework, GitHub 
Supervisor Name: 
Dr. Omer Ishaq 
Group Members:   
M. Hassam Asif (i17 - 0007)

Provenance

Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 209
Created: 1778223766