Irfan Ulla
FAST
· 2020
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i16 - 0533
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Academic
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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
Irfan Ulla is a student who worked on a group project to convert 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 animations in Unity 3D.
Skills (AI)
["Python", "C#", "Unity 3D", "NLP", "Spacy", "CoreNLP", "Iron Python", "Visual Studio"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdfFrom job #23 page 236
Created: 1778144016