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Qasim Javid

FAST · 2020 · i16 - 0443
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2020
Education
Address
DOB

Career

Current role
Target role
Skills
Arduino IDE

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.
Deciphering Sign language into Audio & Visual Display using gloves with sensors ... Technology Used: Arduino IDE Supervisor Name: Dr. Waqas bin Abbas Group Members: Qasim Javid (i16 - 0443)

AI enrichment

Qasim Javid is a student who worked on a project to decipher sign language into audio and visual displays using sensor-equipped gloves. The project was supervised by Dr. Waqas bin Abbas and utilized Arduino IDE.
Skills (AI)
["Arduino IDE", "Sign Language Deciphering", "Sensor Integration"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Engineering - 2020 (Final) (1).pdf
From job #20 page 77
Created: 1778141272