Project Report App
Project Report App
Project Report App
By
Ms.J.Ramaprabha
of
SCHOOL OF COMPUTING
KATTANKULATHUR
NOVEMBER 2023
SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
BONAFIDE CERTIFICATE
Certified that this minor project report for the course 21CSC203P ADVANCED
SIGNATURE
Ms.J.Ramaprabha
Assistant Professor
Department of Computing Technologies
SRM Institute of Science and Technology
Kattankulathur
ABSTRACT
Once the attendance data has been collected, the AMS can be used to generate
reports on individual or group attendance. These reports can be used to
identify employees or students who are frequently absent, track tardiness, and
calculate overtime pay.
Schools: AMSs can be used to track student attendance in class and generate
reports for parents and teachers. This can help to identify students who are at
risk of falling behind academically and provide them with additional support.
We will be able to calculate how many students have attendance less than
75%. attendance management will be able to generate attendance report of a
month with a graph.
Finally, we thank our parents and friends near and dear ones who
directly and indirectly contributed to the successful completion of our project.
Above all, I thank the almighty for showering his blessings on me to complete my
Course project.
TABLE OF CONTENTS
CHAPT CONTENTS PA
ER NO GE
NO
1 INTRODUCTION
1.1 Motivation
1.2 Objective
1.3 Problem
Statement
1.4 Challenges
2 LITERATURE
SURVEY
3 REQUIREMENT
ANALYSIS
4 ARCHITECTURE
& DESIGN
5 IMPLEMENTATIO
6 EXPERIMENT
RESULTS &
ANALYSIS
7 CONCLUSION
8 REFERENCES
1.INTRODUCTION
In [1] IOT Based Cloud Integrated Smart Classroom and Sustainable Campus [2021] This
paper proposed an idea of recording attendance using face recognition technique and storing
the data using IoT. In this method arduino uno is used as a microcontroller. Cameras are used
to detect the face of an individual or group of pupils. Based on the information that is stored
in prior, the faces are recognized and the attendance is recorded and the database is obtained.
This method provides better results in short span of time but fails to produce most accurate
results. There are some chances of some errors.
In [2] Attendance Management System through Fingerprint [2018] This paper proposed an
idea of recording attendance using biometrics (fingerprint) for tracking attendance and
storing the data using LAN. This paper provides a brief description about the usage,
accessibility, accuracy, affordability and acceptance of biometric (fingerprint verification)
system. In this system the data is fetched from the individual in the form of fingerprint and
then it is verified with the data that was stored in prior and marks the attendance of an
individual. Finally the database is also obtained. This method provides high accuracy results
and consumes less time but it is not cost-effective.
In [3] Efficient access control system based on aesthetic QR code [2018] The idea of granting
access based on QR code detection is proposed. In this method the QR code will be checked
and if it matches with the stored data then the access is provided for the user or else the
access will be denied. This method is well suitable for residential purpose and provides better
safety and security. In this method the database is not collected and it is less secure than other
modern methods.
In [4] Student attendance system in classroom using face recognition technique [2016] Here
this paper gives an idea of recording attendance using face recognition technique. Also this
paper provides a detailed description about the results and its analysis obtained from this
method. Faces are recognized using cameras and the verification is done. Then the attendance
is marked. This method is suitable only for moderate number of people and the results
obtained are nearly 87% accurate. This method fails to recognize people in bulk quantity and
causes error in result
3.REQUIREMENTS
Hardware Requirements:-
RAM: - Hard Disk: -
Processor:
2 GB
500 GB HDD/SSD
Intel core i3
Software Requirements:-
4.1 Network
5.Implementation:
4.We calculated the percentage of how many days student were present in a month:
x=print((df.count(axixs=’column)-1/)/21*100)
[2] Aniket Bansal, Satyam Kumar, Ashutosh Pandey, Kaushal Kishor “Attendance Management
System through Fingerprint” ISSN: 2321-9653; Volume 6 Issue IV; IC Value, April
2018.https://www.researchgate.net/publication/325268867_Attendance_Management_System_thr
ough_Fingerprint