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Shehryar Tariq

FAST · 2021 · I17 - 0198
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2021
Education
Address
DOB

Career

Current role
Target role
Skills
Adobe XD, Python, React, PyTorch, Flask

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.
Hate Speech Inspector 

Hate Speech Inspector is an analytical web app that takes tweets from Twitter on runtime and 
detects whether the tweet includes Racism, Sexism, Islamophobia, General Hate, and No Hate 
Speech. 
After 
all 
of 
this, 
it 
visually 
represents 
the 
tweets.  
Features include: 
- Watch all the labeled tweets in the form of 3 different charts. You can select your own choice, The 
charts are Bar Chart, Pie Chart, Radar Chart  
- Search tweets by Keyword, you can search tweets by entering any keyword on the search bar and 
check how many tweets contain any type of hate we mentioned before. 
- Search tweets by Username, you can search tweets on the basis of username as well. Just set the “Search by Username” on the dropdown and write Twitter username on the same search bar. 
You will get how many tweets are labeled in categories. 
- View all tweets, the tweets can be checked by going to another page. 
 
 
 
 
 
 
 
 
 
Technology Used: 
Adobe XD, Python, React, PyTorch, Flask 
Supervisor Name: 
Dr. Mehreen Alam 
Group Members:   
Shehryar Tariq (I17 - 0198)

AI enrichment

Shehryar Tariq developed a hate speech inspection web application that analyzes Twitter data to detect various forms of hate speech using machine learning models. The system features interactive visualizations and search capabilities, built with a full-stack technology stack including React, Flask, and PyTorch.
Skills (AI)
["Python", "React", "Flask", "PyTorch", "Adobe XD", "Machine Learning", "Web Development", "Data Visualization"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 232
Created: 1778170963