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Omar Hayat

FAST · 2022 · I18-0511

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2022

Education

SEECS

Address

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DOB

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Career

Current role

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Target role

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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:   
Omar Hayat (I18-0511)

AI enrichment

Omar Hayat is a BSCS student who developed a Social Media Investigator tool using the MERN stack and Python to analyze misinformation trends on Twitter. The project features sentiment analysis, bot identification, and counter-trend generation capabilities.

Skills (AI)

["Python", "React", "Flask", "MongoDB", "MERN Stack", "KendoReact", "MUI", "Twitter API (Tweepy)", "Sentiment Analysis", "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 262
Created: 1778149999