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Muhammad Hassan

FAST · 2022 · I18-0523
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2022
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
Python, KendoReact, MUI, React, Flask, MongoDB, MERN Stack

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.
Social Media Investigator 
 
Misinformation, inaccurate, or misleading information is being used by many as a tool to achieve a 
political and narrative wins. Social Media Investigator is a tool that is used to identify the fake 
trends used for spreading misinformation on social media platforms. It performs deep analysis and 
generates a report which includes all the proof that how a particular trend contains information 
that is based on incorrect facts. Social Media Investigator is connected with Twitter through 
“Tweepy” and handles the real-time data. The user can search a trend in the web dashboard, check 
the location of individual posts in a trend, check for the most influential post in a trend, the 
sentiment of a trend, check for bots in a trend, and create a counter-trend using Social Media Investigator. 
Features include: 
- Sentiment of a Trend. 
- Location of each individual post in a Trend. 
- Most influential post in a Trend. 
- Bots Identification in a Trend. 
- Countering the negative sentiment trend using Text generation. 
Web Dashboard implemented using MERN Stack 
 
 
 
 
 
 
 
 
Technology Used: 
Python, KendoReact, MUI, React, Flask, MongoDB 
Supervisor Name: 
Dr. Atif Jilani 
Group Members:   
Muhammad Hassan (I18-0523)
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 262
Created: 1778226154