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Muhammad Aisam Irshad

FAST · 2019 · i19 - 0847

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2019

Education

SEECS

Address

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DOB

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Career

Current role

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Target role

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Skills

Machine Learning, Amazon Web Services, Arduino IDE, Wamp Server, MySQL, ESP32 Cam, HTML, CSS, PHP, Python, Embedded C

Verbatim text

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Muhammad Aisam Irshad(i19 - 0847)

Supervisor
Dr. Mukhtar Ullah

Team Members
Aisam Irshad 19-0847
Tayyaba Azam 19-0851
Huda Shoaib 19-0828

Automated Attendance System
Manual Attendance is an inefficient method as it is time-consuming and laborious. The administration has to update attendance manually resulting in proxies and errors. If this problem remains unresolved the workload will keep on increasing and maintaining attendance manually will be a tedious job.
Hence, “Automated Attendance system” is designed to improve the accuracy and efficiency of attendance tracking by removing the need for manual recording and minimizing the potential for human error. It leverages machine learning algorithms and cloud-based infrastructure to automate the process of tracking attendance. The attendance data is presented to the user through a user-friendly web interface, which provides real-time monitoring of attendance through ESP32 cam

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Project Description
“Automated Attendance system” is designed to improve the accuracy and efficiency of attendance tracking by removing the need for manual recording and minimizing the potential for human error. It leverages machine learning algorithms and cloud-based infrastructure to automate the process of tracking attendance. The attendance data is presented to the user through a user-friendly web interface, which provides real-time monitoring of attendance through ESP32 Cam.

Key Features
Real Time Monitoring
Cloud-Based Platform
Attendance Record on Web Portal
Power Efficient
Higher Customization

Block Diagram

Tools Used
Arduino
MySQL
AWS

Technology Used:
Machine Learning, Amazon Web Services, Arduino IDE, Wamp Server, MySQL, ESP32 Cam, HTML, CSS, PHP, Python, Embedded C

Supervisor Name:
Dr. Mukhtar Ullah

Group Members:
Muhammad Aisam Irshad(i19 - 0847)
Tayyaba Azam (i19 - 0851)
Huda Shoaib (i19 - 0828)

AI enrichment

Muhammad Aisam Irshad is a BSCS student who contributed to an automated attendance system project utilizing ESP32 Cam and machine learning. The project involved developing a cloud-based web interface for real-time monitoring and data management using AWS and MySQL.

Skills (AI)

["Machine Learning", "Amazon Web Services (AWS)", "Arduino", "MySQL", "Python", "Embedded C", "HTML", "CSS", "PHP", "ESP32 Cam"]

Status: ai_done

Provenance

Source file: FAST - School of Engineering -Graduate Directory-2023.pdf
From job #15 page 63
Created: 1778113799