← Back to cohort

Muhammad Shaheer

FAST · 2019 · i19-2152
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.
M. Shaheer 191-2152
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

Muhammad Shaheer holds a BSCS degree and has developed a mobile application for recitation error identification using Python, React-Native, and TensorFlow. His project experience involves integrating machine learning models with cloud services like Huawei Cloud and Firebase.
Skills (AI)
["Python", "React-Native", "TensorFlow", "Flask", "Firebase", "Huawei Cloud", "GitHub"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 328
Created: 1778169842