Taha Ahmad Mirza
FAST
· 2021
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I17 - 0197
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Academic
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Year
2021
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Career
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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: Taha Ahmad Mirza (I17 - 0197)
AI enrichment
Taha Ahmad Mirza developed a hate speech detection web application using Python, React, and PyTorch to analyze Twitter data for various forms of hate speech. The project involved building a full-stack solution with visual analytics and search functionalities under academic supervision.
Skills (AI)
["Python", "React", "PyTorch", "Flask", "Adobe XD", "Web Development", "NLP", "Data Visualization"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 232
Created: 1778170933