Hamza Tariq · imagine-talent

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Academic

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CGPA

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Year

2020

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Career

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Skills

Standfor CoreNLP, Spacy, Iron Python, C #, Python, Unity 3D, Visual Studio

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.

Words In Action 
 
The basic idea of the project Words In Action is to convert the natural language text (English) into 
3D animated video. This desktop application converts the story of home invasion into animated 
video. The application takes text (a story) as an input and generates a 3D animated video against it. 
The text is preprocessed using python libraries and NLP models to extract the relevant information 
and then this information is mapped on the characters in unity to generate the animation. 
Features include: 
● Assigning proper noun to all the pronoun being used in the story. 
● Extracting all the information of each character. 
● Selecting characters and their actions from available resources according to extracted 
information. 
● Generating animation in a sequence from selected information. 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Technology Used: 
Standfor CoreNLP, Spacy, 
Iron Python, C #, Python, 
Unity 3D,Visual Studio 
Supervisor Name: 
Dr. Mirza Omer Beg 
Group Members:   
Hamza Tariq (i16 - 0134) 
Irfan Ulla (i16 - 0533)

AI enrichment

Hamza Tariq is a student who developed a desktop application converting natural language text into 3D animated videos using NLP and Unity. The project involved preprocessing text with Python libraries to extract character information and mapping it to Unity for animation generation.

Skills (AI)

["Python", "C#", "Unity 3D", "NLP", "Spacy", "Stanford CoreNLP", "IronPython", "Visual Studio"]

Status: ai_done

Provenance

Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdf
From job #23 page 236
Created: 1778170703