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Hamza Nasir

FAST · 2023 · 19I-0700
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2023
Education
SEECS
Address
DOB

Career

Current role
Target role
Skills
React Native, Flask, MongoDB, Python, PyTorch

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.
Hamza Nasir 19I-0700
Qissa Suna
An Urdu story telling Android application focused on using Text to Speech AI technology for kids.
Technology Used:
React Native, Flask, MongoDB, Python, PyTorch
Group Members:
Hamza Nasir - 19I-0700

AI enrichment

Hamza Nasir is a BSCS student who developed an Android application named Qissa Suna, which utilizes Text to Speech AI technology for children. The project was built using a tech stack including React Native, Flask, MongoDB, Python, and PyTorch.
Skills (AI)
["React Native", "Flask", "MongoDB", "Python", "PyTorch", "Text to Speech AI", "Android Development"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 326
Created: 1778169248