Hyder Ali
FAST
· 2019
·
i19-0703
Email
—
Phone
—
LinkedIn
—
GitHub
—
Academic
Program
BSCS
CGPA
—
Year
2019
Education
SEECS
Address
—
DOB
—
Career
Current role
—
Target role
—
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 who developed a mobile application for recitation error identification using Python, React-Native, and TensorFlow. The project utilized backend services including Flask, Firebase, and Huawei Cloud, with version control managed via GitHub.
Skills (AI)
["Python", "React-Native", "TensorFlow", "Flask", "Firebase", "Huawei Cloud", "GitHub"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 328
Created: 1778169248