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Hyder Ali

FAST · 2019 · i19-0703
Email
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Phone
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LinkedIn
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GitHub
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Academic

Program
BSCS
CGPA
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Year
2019
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, React-Native, TensorFlow, GitHub, Huawei Cloud, Firebase, Flask
Interests / quote
To build a mobile application that can identify and help you rectify mistakes from your recitation.

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. 
Hyder Ali i19-0703
Objective: To build a mobile application that can identify and help you rectify mistakes from your recitation.
Technology Used: Python, React-Native, TensorFlow, GitHub, Huawei Cloud, Firebase, Flask

AI enrichment

Hyder Ali is a BSCS graduate with a project objective focused on developing a mobile application for recitation error identification. The candidate utilizes a tech stack including Python, React-Native, TensorFlow, and Flask for this initiative.
Skills (AI)
["Python", "React-Native", "TensorFlow", "GitHub", "Huawei Cloud", "Firebase", "Flask"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 328
Created: 1778169842