Hammad Afzal
FAST
· 2021
·
i17-0190
Email
—
Phone
—
LinkedIn
—
GitHub
—
Academic
Program
BSCS
CGPA
—
Year
2021
Education
SEECS
Address
—
DOB
—
Career
Current role
—
Target role
—
Skills
MERN Stack, Apache Kafka, Python, Machine Learning, Beautiful-Soup, Visual Studio Code, Deep Learning Algorithms
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 Recommendation System
A Fashion Recommendation System which helps users to find their favorite dresses instantly on the
basis of latest trends and individual’s personal sense of dressing. Moreover, system helps user to
find clothes by searching through an image of the dress. This is where technology comes into the
field to provide a solution to this problem. Shop Spot is an application that would help people to
search items by image anytime, anywhere. It allows the users to input images into our
multiplatform dynamic Web and Mobile Application and our system; comprising AI components
compares the features of the image with maximum possible items from the local market and
provides the links to online stores on which the item is available with lowest prices.
Features include:
Real time data scraping and streaming.
Search products by image from Database.
Product Recommendation using Wardrobe Collection.
Add items to Wishlist
Sell Preloved goods.
Give links to stores where the searched item is available on sale.
Implementation of Deep Learning Algorithms to search by image feature
Technology Used:
MERN Stack, Apache Kafka, Python, Machine Learning,
Beautiful-Soup, Visual Studio Code
Supervisor Name:
Ms. Amna Irum
Group Members:
Hammad Afzal(i17-0190)
Jawad Ali (i17-0268)
Ghulam Jillani (i17-0148)
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdfFrom job #24 page 210
Created: 1778223766