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Muhammad Shehzad

FAST · 2014 · i14 - 0373
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2014
Education
Address
DOB

Career

Current role
Target role
Skills
Image processing

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.
Facial Recognition-Based Attendance System 
 
 The main objective of this project is to offer a system that simplifies and automates the process of 
 recording and tracking students' attendance through face recognition technology. It is the next step 
 in biometric identification technology. The objective is to identify or verify a person from a digital 
 image or surveillance video. This will also automate the system of updating attendance database 
 automatically. 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Technology Used: 
 Image processing  
 Supervisor Name: 
 Engr. Shahid Quershi 
 Group Members:   
 Faizan Ali (i14 - 0543) 
 Muhammad Shehzad (i14 - 0373)

AI enrichment

Muhammad Shehzad is a student who collaborated on a facial recognition-based attendance system project. The work involved using image processing to automate student attendance tracking through biometric identification.
Skills (AI)
["Image Processing", "Facial Recognition", "Biometric Identification", "System Automation"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Engineering - 2020 (Final) (1).pdf
From job #20 page 80
Created: 1778170023