2.2.

3 Quality of student projects

Projects provides opportunities for students to collaborate and learn that enhances their ability in
teamwork, effective communication and kindles skills such as problem solving and time management. In
these projects, the students are encouraged to think not only about the technological issues in engineering
developments, but also the social, ethical, and environmental consequences of their ideas. This approach
will equip them for a career with impact in influencing and improving the world we live in and will
groom them into socially responsible engineers.
The students carry out their project work in the Final year (VII semester -Phase 1 and VIII semester
Phase 2) . In addition to the final year projects, students also work on mini projects. The students also
participate in intra college science day projects contest .

Project Guidelines
 Project work may be allotted to a single student or to a group of students not exceeding 4 per
group
 There shall be three reviews during the semester by the review committee
 The student shall make presentation on the progress made by him / her before the committee
 If a candidate fails to submit the project report on or before the specified deadline, he/she is
deemed to have failed in the Project Work and shall re-enroll for the same in a subsequent
semester.

A. Identification of Projects and allocation methodology to faculty members

The Department follows standard procedures to ensure that students do a quality project.
Project coordinators and Project Review committee
 The Head of Department identifies faculty members and assigns them as Project Coordinators
at the beginning of the semester. The constitution of review committee is shown in Figure
2.2.3.1

Figure 2.2.3.1 CONSTITUTION OF REVIEW COMMITTEE

  The Project Coordinators motivate the students to select their projects based on the latest
trends in technologies and needs of the industry.

Project supervisor allotment

 Each project work is supervised by the faculty members of the department termed as
Supervisors.
 Area of specialization is collected from each faculty members and displayed in the notice
board .
 Supervisors are assigned to each project group either by the choice of student groups or by
faculty expertise/competence/willingness.
 Choice of student groups – Students submit their tentative title, area of interest and abstract of
the project along with the faculty member whom they have identified as the supervisor
(optional) and submit it to the project coordinators. The project coordinators and
 HOD examines the reason given by the project team regarding the selection of the supervisor
and agrees or disagrees with the selection.
 If the reason for selection is not agreed or the project team has not identified the project
supervisor, the project supervisor is allotted by the project coordinators and HOD based on
faculty specialization and expertise/faculty competence/faculty willingness.
 If the students are doing projects at industry/internships, then they need to consult with their
internal supervisor as well as external supervisor towards implementation of project. The
students are advised to meet their supervisor regularly to update their work and Challenges
faced for appropriate guidance.
 The project supervisors are allotted from other departments as Co-guide in case of
interdisciplinary projects.
 Sample of the supervisor allotment is shown in the Figure 2.2.3.2

Figure 2.2.3.2. Project Supervisor allotment

 Project Group:
 Students can do individual projects or form groups consisting minimum two to maximum of
four members.
 If the students are not able to form the group, then the project coordinators will help them to
form the group.
 The students are instructed to submit their team members, area of interest and tentative topics
to the Project Coordinators at the beginning of the semester. The project group details are
shown in Table 2.2.3.a

Identification of Projects:
 The students select a project in line with their area of interest. Students are encouraged to do
project work on real world applications, product development, research-based projects,
projects from Smart India Hackathon to provide innovative solutions to India’s Daunting
problems and interdisciplinary areas . At the end of the project, students are encouraged to
publish paper in Journals and conferences and apply for patent.

Table 2.2.3.a (b) Project Group Details

BATCH
Register No. Student Name DOMAIN Project Title Guide Name
NO
MEDICAL IMAGE
130719205011 BAVANI V
RETRIEVAL
USING INCEPTION
130719205025 KISHORE V
CONVOLUTIONA V3
DR.K.SUNDARAMOOR
BATCH 1 L NEURAL DECOMPOSITION
THY
NETWORK WITH DEEP
130719205022 JEEVANANDHAM V CONVULTIONAL
NEURAL
NETWORK
130719205007 ARUNKUMAR B
SATELLITE IMAGE
DATA CLASSIFICATION
130719205048 VIGNESH D.S BATCH 2 MS.SHANMUGAPRIYA
ANALYTICS USING DEEP
LEARNING
130719205036 PRAVEEN KUMAR S

130719205006 ARJUN R
CONTENT INATOR
(BULID OR
130719205005 ARAVINDHARAJ M BATCH 3 MR.D.SUDHAGAR
ARTIFICIAL DESTROY
INTELLIGENCE WORDS )
130719205009 ASHWIN P

130719205001 AJAY.R
PERSONALITY
PREDICTION
130719205003 AJITH KUMAR.C BATCH 4 MR.D.SUDHAGAR
ARTIFICIAL THROUGH
INTELLIGENCE TWITTER
130719205012 DEEPA SHRI V U
DEIVEEGA DHANA
130719205015
ROSHINI A
INTERNET OF ARDUINOMATED
130719205018 GURUNIVASH V J BATCH 5 MS.AISHWARYA S
THINGS VEHICLE
PARKING SYSTEM
130719205024 KARTHIKEYAN S

130719295014 DEEPIKA.T BATCH 6 DEEP BIOMETRIC MS.CHRISTY GRACE

 IDENTIFICATION
130719205021 JAYANTHINI.M
HINGE
ARTIFICIAL REFRENDUM
130719205041 SALATH ROBINSON.D INTELLIGENCE USING DEEP
LEARNING
130719205020 JAISHA J AN EFFICIENT
MODEL FOR
ARTIFICIAL
130719205016 DHARSHINI S BATCH 7 FOLIUM DISEASE MS.SHANMUGAPRIYA
INTELLIGENCE
DETECTION AND
130719205008 ASHMILA MERLIN V EXTRACTION

130719205034 PAVITHRA S
NOVEL METHOD
ARTIFICIAL OF VIRTUAL
130719205030 NANDHA KUMAR S BATCH 8 MS.K.PUSHPAVALLI
INTELLIGENCE MOUSE USING
HAND GESTURE
130719205027 LAVANYA M

130719205039 RAFII ALI

WEB OBJECT
130719205032 NARKUNAN BATCH 9 APPLICATION DETECTION IN MS.CHRISTY GRACE
DEVELOPMENT DIGITAL IMAGES
130719205050 VISWANATH

130719205031 NARAYAN KUMAR M

STUDENT NAVI –
MOBILE
AN APP FOR
130719205035 SHAI PRASHANTH K BATCH 10 APPLICATION MR.K.ARUN PRASAD
COLLEGE
DEVELOPMENT
STUDENTS
130719205004 AKILAN A

130719205037 S.PREETHI
WEB
DR.K.SUNDARAMOOR
130719205042 G. SATHISH KUMAR BATCH 11 APPLICATION KEEP CASH
THY
DEVELOPMENT
130719205028 MANIBHARATHY

130719205046 TAKOOR SINGH .S REAL TIME

COMMUNICATION
130719205023 JEEVITHA S BATCH 12 ML & DL SYSTEM FOR MS.SATHEA SREE
SPECIALLY
130719205010 AVANTHIKA ABLED
IMPLEMENTATIO
130719205033 PARTHASARATHI. V
N OF CHATBOT
WEB
BATCH 13 WITH E- MR.GOPAL
APPLICATION
130719205049 VIMAL RAJ. K COMMERCE
WEBSITE
130719205013 DEEPIKA S
ARTIFICIAL WFH ACTIVITY
130719205026 LAKSHAYA S BATCH 14 MS.K.PUSHPAVALLI
INTELLIGENCE TRACKER
130719205029 MANIKANDAN V

130719205047 VENKATESAN K
ARTIFICIAL AI ANSWER
BATCH 15 MS.SATHEA SREE
INTELLIGENCE VERIFIER
130719205043 SELVIN S

130719205038 PUSHPALATHA.R
HOUSE PRICE
PREDICTION
130719205044 SNEHA.S BATCH 17 ML & DL MR.GOPAL
USING ML AND
DEEP LEARNING
130719205002 AJITHAA G. V.
B. Types and relevance of the projects and their contribution towards attainment of POs and PSOs

Project is an immersive and an interactive approach for learning an evolving courses like Deep Learning,
Machine Learning, Artificial Intelligence and Internet of Things where students need to understand,
analyze and prototype the project, and interpret his new findings to a novel research paper. Students
come up with various projects, innovate, hypothesize, and increase the community-based problem-
solving ability.

S.No Stages Activities Coordinating Key Parameters for Continuous

Incharge Assessment Assessment
1. Stage 1 Formation of Project NIL
project team and coordinator /
selection of Faculty Review 1
project supervisor Advisors
based on the
specialization
area
2. Stage 2 Decision making Project Literature Survey (for
based on the need Coordinator / Research Problems)
analysis of Project
research Supervisor
problems
3. Stage 3 Objectives and Project 1. Well defined
project plans in Supervisor project scope and
line with the time objectives.
frame 2. Students
understanding of
project deliverables
4. Stage 4 Final modelling Project 1. Competing and Review 2
of the design Supervisor / quality model. (Committee
using appropriate Project 2. Choice of design nominated by
design package. Coordinator package. HOD)
3. Adherence to the
design standards /
constraints as indicated
by lead societies.
5. Stage 5 Fabrication/ Project Fabrication/simulation
simulation of Supervisor outcomes
prototype using
optimal design
6. Stage 6 Performance Project 1. Efficiency of the Review 3
evaluation of Supervisor / deliverables (Committee
realtime Project 2.Workability/function nominated by
product/compone Coordinator ality of the HOD)
nt/ platforms deliverables
3.Fulfillment of
objectives
 7. Stage 7 Community Feedback from expert
engagement committee
activity for
project
showcasing
8. Stage 8 Publication HoD of the Quality / Indexing of “Internal and
outcomes/patenti Departments the publication / External member
ng patenting nominated by
9. Stage 9 Project report Project Evaluation of overall CoE”
compilation and Supervisor / student performance
Final evaluation Project and holistic projection
by external expert Coordinator of outcomes
Table : 2.2.3 B(1) Processes of Project Identification, Monitoring and Evaluation

The following Table 2.2.3.1, Table 2.2.3.2 , Table 2.2.3.3 and 2.2.3.4 represent some of student projects
in core and interdisciplinary areas along with the classification. The projects classified as Real World
Application has significant environmental and social impact.

Batch 2023-2024
projects and mapping of POs, PSOs(CAYm1)
PO mapping PSO mapping
Batch Student Name Project Title
ATCHAI EDGE DETECTION PO1, PO2, PO3, PO4, PO5,
KUMAR USING QUAD PO8, PO9, PO10, PO11,
TREE PO12, PSO1, PSO2
MECHANISM FOR
ADITHYA CT, CR, MR
Batch 1 KUMAR S IMAGE
ASIF PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
MOHAMED SIRENVISIONARY PO8, PO9, PO10, PO11,
MOHIDEEN R -AMBULANCE PO12, PSO1, PSO2
AUDIO AND
IMAGE BASED
PATTANI TRAFFIC SIGNAL
Batch 2 RANJITH P R ALTERATION
AYYANAR PO1, PO2, PO3, PO4, PO5,
SAKTHI ANCESTRAL PO8, PO9, PO10, PO11,
PIXELS PSO1, PSO2
PO12, PSO1, PSO2
Batch 3 N.MADESH
PO1, PO2, PO3, PO4, PO5,
R. DEVA FABRICATION OF PO8, PO9, PO10, PO11,
V.JAGADEES BLACK BOX PO12, PSO1, PSO2
Batch 4 WARAN
MARKER BASED PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
Batch 5 D.KALAIVANI CAMPUS
 WAYFINDER PO8, PO9, PO10, PO11,
USING PO12
AUGUMENTED
D.PAVITHRA REALITY

S. KAVIYA KEYWORD
DRIVEN PROMPT PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
AND AI IMAGE PO8, PO9, PO10, PO11,
J. GENERATOR PO12
Batch 6 NIVEDHITHA
N.PAVAN PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
KUMAR PO8, PO9, PO10, PO11,
E. PO12, PSO1, PSO2
FEED THE NEEDS
VIGNESHWAR
AN
KIRUBANITHI PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
K PROMATE - AN PO8, PO9, PO10, PO11,
INFLUENCER PO12
MARKETING
KUMARESH I TOOL

S.MONISH CLASSIFYING
DIABETIC FOOT PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
ULCERS USING PO8, PO9, PO10, PO11,
MACHINE PO12
J.SATHISH LEARNING
VIZ-FLOW :AN
EFFECTIVE E-
S. LEARNING TOOL
NIVETHITHA FOR ALGORITHM
A VISUALIZATION

AQPG SYSTEM:
STREAMLINING
ASSESSMENT
AND
V. PAVITHRA EVALUATION
PRANAV PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
SIDHARTH B PO8, PO9, PO10, PO11,
SMART SHOES
THAMIZHSEL PO12
FOR VISUALLY
VAN.P
IMPAIRED USING
A.CHRIS ARDUINO
HARRIS
MACHINE VISION PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
S.SAHANA GESTURE PO8, PO9, PO10, PO11,
CONTROL USING PO12
WESLINE ARTIFICIAL
RINISHA. D INTELLIGENCE

SESHMITHA E SKIN LESION

CLASSIFICATION PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
SNEHA AND DIAGNOSIS PO8, PO9, PO10, PO11,
SHARON USING CNN PO12
SAMUEL
 USING EXISTING
SURYA.S CCTV NETWORK
FOR CROWD
MANAGEMENT,
CRIME
PREVENTION,
AND WORK
SIDHARTH.S MONITORING
PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
DHARSHINI.M PO8, PO9, PO10, PO11,
CLOUD BASED PO12
SOCIAL
ENGINEERING
SECURITY AUDIT
TOOL WITH
MODERN WEB
SUJEETHA.R GUI
PRASHANTH IOT BASED
S CABLE FAULT
DETECTION AND PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
INDICATING PO8, PO9, PO10, PO11,
SYSTEM USE PO12
R. SNEGA HILL STATION
SAKTHI PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
DHASAN. K IOT BASED PO8, PO9, PO10, PO11,
SMART LIGHTS PO12
AND VEHICLE
CROSSING ALERT
WITH
INDICATING
DHLIP SYSTEM IN
KUMAR.D HILLSTATION
PASSWORD
AUTHENTICATIO
N USING AUDIO
G.SATISH SIGNATURE
PROFANITY AND PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
VIOLENCE PO8, PO9, PO10, PO11,
H.L.SANTHOS PO12
H DETECTION
AN EFFICIENT PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
YAKESH.K PARALLEL PO8, PO9, PO10, PO11,
APPROACH FOR PO12
SCLERA VEIN
ABISHKAR A RECOGNITION
PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
PO8, PO9, PO10, PO11,
OFFLINE STORE PO12
CUSTOMER
KARTHIKEYA ANALYSIS
N. M INTEGRATION
C.LIBI LUNG CANCER PO1, PO2, PO3, PO4, PO5, PSO1, PSO2
CHARAN DETECTION AND PO8, PO9, PO10, PO11,
SURVIVAL RATE
 PO12
PREDICTION

Batch 2022-23
Table 2.2.3 B(3) Type projects and mapping of POs, PSOs(CAYm2)

Batch.N Register Name of the Topic of Research Supporte Supporte

o Number Student d POs d PSOs
Batch 1 130719205011 Bavani V Medical Image PO1, PO2, PSO1,
Retrieval Using PO3, PO4, PSO2
130719205025 Kishore V
Inception V3 PO5, PO8,
130719205022 Jeevanandhan Decomposition PO9,
V With Deep PO10,
Convolutional PO11,
Neural Network PO12

Batch 2 130719205007 Arun Kumar B Satellite Image PO1, PO2, PSO1,

Segmentation And PO3, PO4, PSO2
130719205048 Vignesh D S
Classification For PO5, PO8,
130719205036 Praveen Kumar Environmental PO9,
S Analysis PO10,
PO11,
PO12
Batch 3 130719205006 Arjun R Content Inator (Ai PO1, PO2, PSO1,
Paraphasing PO3, PO4, PSO2
130719205005 Aravindharaj M
Inator ) PO5, PO8,
130719205009 Ashwin P PO9,
PO10,
PO11,
PO12
Batch 4 130719205001 Ajay R Individuality Traits PO1, PO2, PSO1,
Projection By PO3, PO4, PSO2
130719205003 Ajith Kumar C
Tweets Via Myers PO5, PO6,
130719205012 Deepa Shri V U Briggs Type PO7, PO9,
Indicator Using PO10,
Machine Learning PO11,
PO12
Batch 5 130719205015 Deiveega Arduinomated PO1, PO2, PSO1,
Dhana Roshini Vehicle Parking PO3, PO4, PSO2
PO5, PO8,
130719205018 Gurunivash V J
 System PO9,
PO10,
130719205024 Karthikeyan S
PO11,
PO12
Batch 6 130719205014 Deepika T Deep Biometric PO1, PO2, PSO1,
Identification PO3, PO4, PSO2
130719205021 Jayanthini M
Based Referendum PO5, PO8,
130719205041 Salath System Using Deep PO9,
Robinson D Learning PO10,
PO11,
PO12
Batch 7 130719205020 Jaisha J An Efficient PO1, PO2, PSO1,
Model For Folium PO3, PO4, PSO2
130719205016 Dharshini S
Disease Detection PO5, PO8,
130719205008 Ashmila Merlin And Extraction PO9,
V PO10,
PO11,
PO12
Batch 8 130719205034 Pavithra S Develop An PO1, PO2, PSO1,
Innovative Method PO3, PO4, PSO2
130719205030 Nandha Kumar
To Control Traffic PO5, PO8,
S
Light By Using PO9,
130719205027 Lavanya M Mqtt Protocols PO10,
PO11,
PO12
Batch 9 130719205039 Rajif Ali Object Detection PO1, PO2, PSO1,
In Digital Images PO3, PO4, PSO2
130719205032 Narkunan
PO5, PO8,
130719205050 Viswanath PO9,
PO10,
PO11,
PO12
Batch 10 130719205031 Narayan Kumar STUDENT NAVI PO1, PO2, PSO1,
M – An App For PO3, PO4, PSO2
College Students PO5, PO8,
130719205035 Shai Prashanth
PO9,
K
PO10,
130719205004 Akilan A PO11,
PO12
Batch 11 130719205037 S Preethi KEEP CASH PO1, PO2, PSO1,
PO3, PO4, PSO2
13071920504 G Sathish
PO5, PO8,
Kumar
PO9,
130719205028 Manbharathy PO10,
PO11,
PO12
Batch 12 1307192050 Takoor Singh S Real Time PO1, PO2, PSO1,
Communication PO3, PO4, PSO2
1307192050 Jeevitha S
System For PO5, PO8,
1307192050 Avanthika Disabled People PO9,
PO10,
PO11,
PO12
Batch 13 130719205033 Parthasarathi V Implementation Of PO1, PO2, PSO1,
Chatbot With E- PO3, PO4, PSO2
130719205049 Vimal Raj K
Commerce Website PO5, PO8, PSO3
PO9,
PO10,
PO11,
PO12
Batch 14 130719205013 Deepika S Work From Home PO1, PO2, PSO1,
Activity Tracker PO3, PO4, PSO2
130719205026 Lakshaya S
PO5, PO8,
130719205029 Manikandan V PO9,
PO10,
PO11,
PO12
Batch 15 130719205047 Venkatesh K A Novel Method PO1, PO2, PSO1,
For Response PO3, PO4, PSO2
130719205043 Selvin S
Appraisement PO5, PO8,
Using Machine PO9,
Learning PO10,
PO11,
PO12
Batch 16 1307192050 Gobinathan Fake Profile PO1, PO2, PSO1,
Identification In PO3, PO4, PSO2
1307192050 Jaikumar S
Online Social PO5, PO8,
1307192050 Surya M Network Using PO9,
Machine Learning PO10,
And NLP PO11,
PO12
Batch 17 130719205038 Pushpalatha R ATM Theft PO1, PO2, PSO1,
Detection Using PO3, PO4, PSO2
130719205044 Sneha S
Triple Stacked PO5, PO8,
130719205002 Ajithaa G V Auto Encoder And PO9,
Deep Learning PO10,
Algorithm PO11,
PO12
Batch 18 130719205040 Raman Pradeep
S
 Batch 2021-2022
Table 2.2.3 B (4) Type projects and mapping of POs, PSOs (CAYm3)

Batch.N Register Name of the Topic of Supported Supporte

o Number Student Research POs d PSOs
1. 31091820500 AKASH Phising PO1, PO2,
1 AVUDAIYAPPAN website using PO3, PO4,
A Machine PO5,
31091820500 KARTHIKEYAN P learning PO6,PO7,PO8
9 , PO9, PO10,
PO11, PO12
2. 31091820500 BHARANI V AN PO1, PO2, PSO1,
2 ANDROID PO3, PO4, PSO2
31091820501 PLASAN B APPLICATION PO5,
5 FOR PO6,PO7,PO8
LOCATION , PO9, PO10,
BASED CAR PO11, PO12
AND BIKE
SERVICES
3. 31091820500 CHOZHAVARMA Fake news PO1, PO2, PSO1,
4 N K detection using PO3, PO4, PSO2
31091820501 NIRMAL KUMAR machine PO5,
3 T learning PO6,PO7,PO8
, PO9, PO10,
PO11, PO12
4. 31091820500 DIVYADARSHINI REVIEW PO1, PO2, PSO1,
6 S ANALYSIS IN PO3, PO4, PSO2
31091820502 SHANTHI GOOGLE PO5,
0 PRAVEENA S PLAYSTORE PO6,PO7,PO8
, PO9, PO10,
PO11, PO12
5. 31091820500 DINESH KUMAR Accident PO1, PO2, PSO1,
5 V Detection Alert PO3, PO4, PSO2
31091820502 SHYAM System PO5,
1 FRANKLIEN J PO6,PO7,PO8
, PO9, PO10,
PO11, PO12
6. 31091820500 JOTHI G House price PO1, PO2, PSO1,
8 prediction in PO3, PO4, PSO2
31091820501 MEGHANNA D industrial cities PO5,
2 of India PO6,PO7,
PO8, PO9,
PO10, PO11,
PO12
7. 31091820501 KARUNYA MD Prediction of PO1, PO2, PSO1,
0 Cyber Security PO3, PO4, PSO2
31091820501 KOKILA RANI S Attacks PO5,
1 PO6,PO7,PO8
 , PO9, PO10,
PO11, PO12
8. 31091820501 PAVITHRA M PO1, PO2, PSO1,
4 PO3, PO4, PSO2
31091820501 REKHA D PO5,
8 PO6,PO7,PO8
, PO9, PO10,
PO11, PO12
9. 31091820502 SOWNDARYA M Crypto PO1, PO2, PSO1,
2 Currency PO3, PO4, PSO2
31091820501 PRIYADHARSHIN market price PO5,
7 I J prediction using PO6,PO7,PO8
data science , PO9, PO10,
process PO11, PO12

10. 31091820502 ZISHNU VIKNESH Personal PO1, PO2, PSO1,

4 S assistant for PO3, PO4, PSO2
31091820501 PRAKASH R guiding in stock PO5,
6 fundamental PO6,PO7,PO8
analysis , PO9, PO10,
PO11, PO12
11. 31091820502 SRIGAYATHRI A Emotional PO1, PO2, PSO1,
3 Analysis from PO3, PO4, PSO2
text using ML PO5,
PO6,PO7,
PO8, PO9,
PO10, PO11,
PO12

Batch 2020-2021
Table 2.2.3 B (5) Type projects and mapping of POs, PSOs (CAYm4)

Batch.No Register Name of the Topic of Supported Supported

Number Student Research POs PSOs
1. 31091720504 Vaibhav R Student PO1, PO2, PSO1, PSO2
1 Attendance PO3, PO4,
31091720502 Muhemin Automation PO5,
0 Sherif M System PO6,PO7,PO8,
31091720502 Raghu PO9, PO10,
7 Rakaesh S PO11, PO12

2. 31091720502 Sai Guhan V Face Mask PO1, PO2, PSO1,

8 Detector PO3, PO4, PSO2
31091720503 Seran S PO5,
2 PO6,PO7,PO8,
PO9, PO10,
PO11, PO12
3. 31091720503 Shivaane S Automated PO1, PO2, PSO1, PSO2
 4 Detection of PO3, PO4,
31091720503 Sri Ranjani B Brain Tumor PO5,
7 using PO6,PO7,PO8,
31091720570 Sandhya S clustering PO9, PO10,
1 algorithm PO11, PO12

4. 31091720500 Avinash J Zero hunger PO1, PO2, PSO1, PSO2

5 – bridging PO3, PO4,
31091720500 Baby Shalini platform PO5,
6 M between PO6,PO7,PO8,
31091720502 Nandhini Devi NGO and PO9, PO10,
1 R Doners using PO11, PO12
31091720503 Sharmila N “React
3 Native”
5. 31091720500 Anandhan R Handwritten PO1, PO2, PSO1, PSO2
3 recognition PO3, PO4,
31091720503 Srimathi B and PO5,
6 evaluation PO6,PO7,PO8,
31091720503 Subakeshini R PO9, PO10,
8 PO11, PO12
6. 31091720502 Samrithaa Speech PO1, PO2, PSO1,
9 KVK Emotion PO3, PO4, PSO2
31091720503 Subha Recognition PO5,
9 Lakshmi A System PO6,PO7,PO8,
31091720500 Alan Sam S PO9, PO10,
2 PO11, PO12
7. 31091720501 Haridass M Fake News PO1, PO2, PSO1, PSO2
0 Detection PO3, PO4,
31091720501 Harish S PO5,
1 PO6,PO7,PO8,
PO9, PO10,
PO11, PO12
8. 31091720501 Kanimozhi G Bank PO1, PO2, PSO1, PSO2
4 transaction PO3, PO4,
31091720502 Pavithra S using facial PO5,
4 recognition PO6,PO7,PO8,
31091720502 Prashanth M system using PO9, PO10,
5 opencv PO11, PO12
9. 31091720500 Anantha Home PO1, PO2, PSO1, PSO2
4 Krishnan S Automation PO3, PO4,
31091720500 Gokul H using PO5,
8 raspberry pi PO6,PO7,PO8,
31091720501 Jai Hariesh PO9, PO10,
2 MC PO11, PO12
31091720501 Mohamed
9 Abraar S M
10. 31091720502 Parameswari Online PO1, PO2, PSO1, PSO2
3 S shopping PO3, PO4,
31091720503 Sangeetha S system PO5,
0 PO6,PO7,PO8,
PO9, PO10,
PO11, PO12
11. 31091720501 Kalki M Performance PO1, PO2, PSO1, PSO2
3 analysis of PO3, PO4,
31091720501 Kaviya M students PO5, PO8,
5 feedback PO9, PO10,
31091720501 Kohila R using PO11, PO12
6 machine
learning
12. 31091720500 Ajai M Prediction of PO1, PO2, PSO1, PSO2
1 cancer using PO3, PO4,
31091720504 Udhayaprakas data mining PO5,
0 hG techniques PO6,PO7,PO8,
31091720502 Naresh T with CNN PO9, PO10,
2 algorithm PO11, PO12
13. 31091720501 Mageswaran Smart driver PO1, PO2,
7 G chair for four PO3, PO4,
31091720502 Praveen wheeler PO5, PO8,
6 Kumar V using IOT PO9, PO10, PSO1, PSO2
PO11, PO12
14. 31091720500 Bhargavi S x-Ray PO1, PO2, PSO1, PSO2
7 monitoring PO3, PO4,
31091720501 Mahalakshmi using PO5,
8 A machine PO6,PO7,PO8,
31091720500 Nandhini N learning for PO9, PO10,
7 Covid-19 PO11, PO12

Table 2.2.3 B (6) Domain Analysis of Project

S.No Project 2020-2021 2021-2022 2022-2023 2023-2024 Mapping
Domains with POs
and PSOs
1. Deep 2 1 - 1 PO1-
Convolutional PO12,PSO1-
Network PSO2
2. Web - - - 2 PO1-
Application PO12,PSO1-
PSO2
3. Deep - - - 3 PO1-
Learning PO12,PSO1-
PSO2
4. Artificial 1 - - 3 PO1-
Intelligence PO12,PSO1-
PSO2
5. Machine 5 10 5 5 PO1-
Learning PO12,PSO1-
PSO2
6. Internet of 3 3 4 2 PO1-
Things PO12,PSO1-
PSO2
7. Mobile 1 - 1 1 PO1-
Application PO12,PSO1-
PSO2
8. Data Mining 1 - - - PO1-
PO12,PSO1-
 PSO2
9. Cryptograph 3 - - - PO1-
y and PO12,PSO1-
Network PSO2
Security
10. Networks 1 - - - PO1-
PO12,PSO1-
PSO2
11. Cloud 4 - - - PO1-
Computing PO12,PSO1-
PSO2

Figure : Arduinomated Vehicle Parking System

C. Process for monitoring and evaluation

Project Review Committee:

 ❖ Project Review Committee is formed by the Head of Department at the beginning of the semester.
Periodic monitoring and evaluation of the project works is done in three phases: first review,
second review and third review by this committee. The committee awards

❖ All the student projects are centrally monitored by the Department Project Coordinator. The
students have to update their individual progress and their batch progress to their respective
guides, three time a week. The guides report to the project coordinator in case of any
discrepancies. The Continuous assessment takes place through periodic reviews by industry
experts and domain expert members based on monitoring and evaluation phases mentioned in
three types of projects.
❖ All the projects will be evaluated based on
▪ Scope, Objective, Design process, implementation methodology, performance
analysis, standard consideration and future scopes.
▪ Project Work Demonstration
▪ Final Viva-voce by experts

Table 2.2.3 (c ) Project Evaluation Scheme

Continuous Monitoring:
❖ The project guide / project coordinators/review committee members will give suggestions to do
project.
❖ Based on inputs (suggestions from guide), students have to start their project work.
❖ All the students must report to their guides on regular basis and maintain a project note regarding
the progress of their project work and get it approved by the respective supervisor.
❖ The project supervisor will evaluate the report submitted by the students and help them to proceed
with project work.
❖ Project supervisor will assess each student in team and make them work in right way.
❖ Students should give a presentation to the Project Review Committee at the end of every month
(February, March, April) as per the academic schedule. The committee gives suggestions at the
end of the presentation to improve the quality of the work and evaluates the
❖ projects based on the project assessment criteria and rubrics.
 ❖ Three project internal reviews are conducted for each batch. After the three reviews, instructions
are given to write the Project Report as per the guidelines prescribed by the Anna University.
❖ In Review I, the students are expected to finalize the field, title of the project and 30% of the work
❖ In Review II, the students are expected to complete the 75% project work.
❖ The students are expected to complete the entire project work before the Review 3. The students
should demonstrate their projects with the prototypes in Review III.

D. Process to assess individual and team performance

❖ The three-member review committee is formed to evaluate the students’ project. Based on their
average marks of Review I, Review II, Review III, marks are awarded to the project teams.
❖ The project presentation should be given by all the project team members according to the
division of project.
❖ Each student in the project team is assessed to their skill set to deliver the presentation, explain
the concept.
❖ Each individual and team performance is evaluated based on assessment criteria during the
project presentation in the review and the viva voice and progress work they show to their
supervisor.
❖ A sample on the process to assess individual and team performance in the assessment year 2017-
18 is shown in Figure 2.2.3(d) below.

Figure 2.2.3(d) Sample on the process to assess individual and team performance

Table 2.2.3 (d)

E.Quality of completed projects / working Prototypes
Quality of the project is determined based on the outcome, follow of design constraints along with
environment, safety, ethics, cost and sustainability consideration and standards. Quality projects are
disseminated and published to the science and technology domains in the following aspects:
● Publishing papers in reputed National / International Conference proceedings.
● Filing patents for novel technical ideas.
● Forwarding the best project to the science competitions
● Sending the students projects proposal to the IEDC, TNSTC project competitions for fund approval etc.
All the projects will be examined by the project coordinator and project guide, and the team of internal
and external experts will be formed by the Head of the department to ensure the quality of project in
terms of IEEE standards, design constraints along with environment, safety, ethics, cost and sustainability
consideration and outcomes.

Table 2.2.3 (d)

ICETSET22_IT09 1.Mrs.Pushpavalli K.
Vehicle Accident Detection Using 2.Jothi G.
IOT 3. Meghanna D.

ICETSET22_IT10 An Android Application For 1. Dr.D.Parameswari

Location Based Car And Bike 2.Plasan B
Service Recommendation 3. Bharani V
ICETSET22_IT11 Real And Fake News
ClassificationUsing Data Science 1.Mr.N.Javed
Proces. 2.Chozhavarman K ,
3.Nirmal Kumar T
ICETSET22_IT12 1.Mr.D.Sudhagar
Train Track Crack Detection Using 2.Karunya M. D
Cnn 3.Kokilarani. S

ICETSET22_IT13 1.Mrs.Pushpavalli K
Mouse Cursor Control System
2.Nandhakumar S
Based On
3.Pavithra S
Hand Gesture
4.Lavanya M,

ICETSET22_IT14 1.Mr.K.Arunprasad
Patient’s Health Analysis And 2.Ashmila Merlin
Record Using Php 3.Deepika T
4.Sneha S

ICETSET22_IT15 1.Aravindharaj .M
Drowsiness Detection System
2.Ashwin .P
3.Arjun .R
ICETSET22_IT16 1.Mrs.SatheaSree S
Vulnerability Assessment And
2.Deepika S
Penetration Testing
3.Lakshaya S
ICETSET22_IT17 1.Mr.Arun Prasad K,
Prognosis Of Phishing Website
2.Akash Avudaiyappan
Using Machine Learning
A,
3.Karthikeyan P
ICETSET22_IT18 1. Mr. Kumar Parop
Accident Detection And Alert
Gopal
System Using Android Application
2.Shyam Franklien J
3.Dinesh Kumar V
ICETSET22_IT19 1.MrArunprasad
2.Narkunan .M
Price Tracker On E-Commerce
3.Selvin S
4.Viswanath .G

ICETSET22_IT20 Prophecy Of Cyber Attacks Using

Data
Science Technique 1.Mr.Arun Prasad K,
2.Pavithra M,
3.Rekha D
ICETSET22_IT21

Review Analysis Of Google Play

Store 1.Mrs.Satheasree S,
2.Divyadharshini S,
3.Shanthi Praveena S

ICETSET22_IT22
1. Dr.
K .Sundaramoorthy
Indoor Farming 2.Sathish Kumar G
3.Preethi S
1.2.3 Initiatives related to industry interaction (10)
1. Industry institute interaction is done by signing MoU with industries to source Industrial
consultancy and funded projects.

2. Guest lectures by the industrial experts for the growing trends of technology.

3. Value added certificate programs are organized to equip students as industry expects.

4. Faculty training is also given using these industry interactions.

A. Laboratories established with Industry Support

 JCE-IT with the support of Palmyra Tech Labs has established Research Laboratory

Research Laboratory:

The lab is typically devoted to teaching and preliminary research. The lab is established in the
academic year 20218-2019. The facilities available in the lab, and outcomes are visualized in
terms of projects and papers. The configuration of the Research lab is depicted in Table 2.2.4
A (1)

Number of Systems System Configuration Software Installed

1. Open-Source
Software Like
R, Python,
Rapidminer
2. Tableau
3. PowerBI
HP 280 G2, MT Intel 4. SQL Server
Core TM i5- Studio
6500 5. Visual Studio
Cpu@3.20G 6. Talend
60 Hz 8GB 7. SAS
DDR4 8. Apache Hadoop
9. HDFS
1TB HDD 10. HIVE
11. PIG
 19" LED 12. Pydoop
Monitor 13. Vidanalytics
DVD Writer 14. Tubebuddy

Table 2.2.4 A (1) Research Lab Configuration

B.Industry involvement in the program design and curriculum

Industry Expert is a member in BOS, the curriculum and the syllabus is framed considering the

suggestions given by him based on the industry requirements. The sample for Industrial Expert

Involvement is shown in Table 2.2.4 B (1)

Table 2.2.4 B (1) Industry Expert Involvement in Curriculum Design

S.No. Name of Designation Company Contribution Period

the
Expert
Industry Infosys
Principal Engineering
Mr. Vinoth BoS Member 2022 -2024
Services,Infosys
Venkateswaran Industry Expert
1 ,
Chennai.

C. Industry involvement in partial delivery of any regular courses for students

 Fundamentally the Industry Interaction of the Department is accomplished in the following
manner

● Guest Lectures on individual subjects by Industry experts.

● Invited talks on latest trends in engineering and technology
● Hands-on Workshops conducted by leading Industry Experts
● MOU’s with a wide variety of Industries.
● Industrial visits
● Internship

The Department of Information Technology has signed a Memorandum of Understanding

with several IT Companies Table 2.2.4 C (1) lists

Table 2.2.4 C (1) MoU signed with several IT Companies

S.NO NAME OF THE COMPANY DATE

1. CAAS Research Foundation,

Mr.P.Senthilkumar,
Chairman,
CAAS Research Foundation
30.8.2021
Old Number : 1926 , New Number.10,
Vasantham Colony 1st Main Rd, Chennai,
Tamil Nadu 600040
2. Palmyra Tech Labs
Mr.M.Senthil Kumar,Director and Founder,
Palmyra Tech Labs,P-6 Kannikoil Street,
Kurunji Nagar,Chrompet,Chennai, 4.1.2022
Tamil Nadu 600044
3. Sun Software Solutions 13.8.21
Dr.V.Kannan
No 33/1,I Floor,G.S Complex,Avinashi
Road,
Hopes College,Coimbatore -4
MoUs signed by IT-JCE. These MoUs are vital in developing Industry Oriented laboratories, courses, projects, certifications in the
department. Sample MoU signed with industries are shown in Figure 2.2.4 C (2) and Figure 2.2.4 C (3)

Figure 2.2.4 C(2) Sample MoU signed with Sun Software Solution Figure 2.2.4 C(3) Sample MoU signed with Palmyra Tech Lab
 D. Impact analysis of industry institute interaction and actions taken thereof

● Placement training programs were conducted for final and third year students which helped and motivated them. This in turn has increased the
placement for last three years considerably.

● Content beyond syllabus and various new tools have been taught through Seminars and guest lectures.

● Career guidance program were conducted that motivate the students to become entrepreneurs and successful employees.

The sample proof for the Workshop/Seminar/Guest Lecture Conducted by Industrial Expert is given in table 2.2.4 D(1) and proof of photos
and posters are given in figure 2.2.4 D(2)&(3).
 Table 2.2.4 D (1) Workshop/Seminar/Guest Lecture Conducted by Industrial Expert

S.no Event Date Title Resource Person

1 Webinar 1.7.2020 Webinar on Mrs Nalini,

“Artificial
Technical Specialist,
Intelligence”
IBM,Chennai
By IBM, Chennai

2 webinar 8.7.2020 Webinar on Mr Sudheer Vetcha

“Introduction to Data
Software Engineer,
Analytics and its
carrier options” IBM chennai

3 webinar 15.7.2021 Webinar on Mrs Umasree Raghunathan

“Blockchain
Global Account Portfolio
Technology
Manager- UKI
IBM Corporate Service Corps
Alumin
IBM'brassador and CSR /D&I
Champion, Chennai.
4 Guest 26.11.2021 Motivational Mr.B .Manikandan/MST
Lecture Workshop for Solutions
Second Year
Mr.S.Jayasurya/Zoho corp
Students
Mr.E.Nesamani,Zoho Corp
5 Seminar 9.12.2021 Opportunities in MS.R.Pamila Marceline,
Testing
QA lead,Deloitte Consulting,
Chennai.
6 Guest 10.12.2021 Data Analytics using Mr.Vaibhav Raja,
Lecture Python and
Object Automation Software
application of Data
Solutions,
Science
Chennai
7 Workshop 11.12.2021 Interview Skills Mr.Sabeer Mohamed,
Virtusa Polaris,
Chennai.
8 Seminar 14.12.2021 Trends in Python Mr.m.Akshay Kumar,
Infosys, Chennai.
9. Workshop 15.12.2021 IOT and Data Ms.R.soniya
Acquisitions
IOT &Data Engineer,
ZF WABCO,Chennai
10 Seminar 12.10.2021 VMWare and Data Mr.Manoj Mathialagan,Manager,
Center Virtualization
Strategic accounts Securekloud
11 Workshop 30.320.22 Machine Learning Mr.A.Richard Rozario,
Techniques
CAAS Research Foundation
12 Seminar 26.08.2022 How to Achieve Mr.Jaisingh
 your Dream Job Lynx Solutions
Chennai
13 Seminar 12.9.2022 Exposure to IT Mr.D.Harish
Industry
Automation Test Engineer
CTS
14. Seminar 26.9.2022 How to crack the MS.D.Mandavadeepthi
interview to land in
Gavs Tech,Chennai
dream jobs
15 Seminar 19.10.2022 Data Science and Mr.Sudessh Sanakaravel,
Industry Use cases
Verizon, India
16 Seminar 21.11.2022 Cloud Computing Mr.Harun Rasheed Basheer
&Azure
Hitachi Solutions
Fundamentals
17 Guest 25.11.2022 Java Frameworks Mr.Dharmendra .D
Lecture
Aleph Labs
Chennai
18 Guest 18.2.2023 Guest Lecture on Mr.Janakiraman
Lecture Devops
VMWare, Chennai
19 Seminar 18.2.2023 Cloud Computing Mr.Sankaranarayanan
Techniques
Senior Software Engineer
Publicis Sapient
Bangalore
Figure 2.2.4 D (2) Posters on Guest lecture and Seminar and Figure 2.2.4 D (3) Proof for Seminar and Guest Lecture
1.2.4 Initiatives related to industry internship/summer training (10)

A. Industrial training / tours for students

● Periodically the students are taken to industrial tour and workshop to impart the real time exposure on growing needs of industry.

● Students are motivated to undergo industrial in-plant training

● Students are asked to carry out their short term projects and end semester projects to meet industrial needs.
The Sample Proof has been attached for industrial visit in table 2.2.5 A (1) & (2) and permission letter for visiting U.R. Rao Satellite Centre is
shown in Figure 2.2.5 A (3). Few photos are attached in figure 2.2.5 A (4)

Table 2.2.5 A (1) Industrial visit (2023-2024)

S.NO BATCH DATE VISIT NO OF
STUDENT
1 III 10-11-23 U.R, Rao Satellite Centre In 59
Bangalore
2 III 27-10-23 Icar-Ciba In Muttukadu 59
3 II 30-08-23 Nsic In Chennai 49
4 IV 11-07-23 Infinite Open-Source Solution In 31
Kozhikode

Table 2.2.5 A (2) Industrial visit

S.N NAME OF THE COMPANY BATCH DATE OF PLACE OF

O THE VISIT THE VISIT
1 TeachSub Technologies 2020-2024 09.06.2022 Chennai
2 TeachSub Technologies 2019-2023 10.06.2022 Chennai

3. Crocodile park 2020-2024 15.06.2022 Chennai

&
2019-2023
4. Kaashiv Infotech 2020-2024 12.08.2022 Chennai
&
2021-2025
5. Kaashiv Infotech 2019-2023 29.08.2022 Chennai

6. Bharat Sanchar Nigam Limited Pvt Ltd 2021-2025 13.10.2022 Chennai

7. U R Rao Satellite Centre 2020-2024 13.10.2022 Bangalore

&
2019-2023
8. 2021-2025 15.02.2023 Chennai
National Small Industries Corporation

9. 2020-2024 16.02.2023 Chennai

National Small Industries Corporation
Table 2.2.5 A (3) Permission Letter of Industrial Visit
 Table 2.2.5 A (4) Sample proof for Industrial visit (2023-2024)

B. Industrial/Internship/summer training of more than two weeks and post training assessment

● Students are encouraged to take up internship and also summer/winter training in Industry.
● The students undergo mandatory Industrial training for a minimum period of 15 days as specified in the Curriculum during summer /
winter vacation
● The students undergo Internship at Research organization / other University (after due approval from the HOD) for the minimum period
of 15 days as prescribed in the curriculum during summer / winter vacation, in lieu of Industrial training.
● Company also provides internships for pre-final/final year students who get an opportunity to solve real time specific problems
● In-plant training and internships along with the strong theory and practical courses make the students Industry ready and is one of the core
strengths of the programme.
● The list of internships of students is given in Table 2.2.5 B (1)
 Table 2.2.5 B (1) List of Internship Student details

Name of the
collaborating Nature of
Title of the
the
collaborativ Name of the
agency with Year of activity
Sl. No. e activity participant Duration
contact collaboration (Internship,
(Internship (student)
details seminar,
title)
(company workshop)
Name)
Internship

Python and
AI Machine SmartAnt
1 Learning Technologies Vaibhav R 2018-2019 1 Month
Internship

Advanced Foursteps
Python Training
2 Training Solutions Vaibhav R 2018 32 Hours
Internship

Advanced
Artificial
Intelligence Foursteps
and Machine Training
3 Learning Solutions Vaibhav R 2018 32 Hours
 Internship

lndian
lnstitute of
Artificial Technology
4 intelligence Madras zishnu viknesh 2019 48 hours
Artificial lndian Internship
Intelligence lnstitute of
with Machine Technology
5 learning Madras zishnu Viknesh 2020 48 hours
Android Google flutter Internship
6 development developers zishnu viknesh 2020 9 hours
Ethical Internship
7 hacking wikitechy zishnu viknesh 2019 9hours
Google Internship
Android Flutter
8 development developers S.Kokila Rani 2019 9 hours
Internship

Ethical
9 hacking wikitechy r prakash 2019 9 hours
Ethical J.Shyam Internship
10 hacking wikitechy Franklien 2019 9 hours
Android Google flutter Internship
11 development developers D. Meghanna 2020 9 hours
 12 Website Brand2Social E.Vigneshwara 2022 Six months Internship
Development n
13 Website Brand2Social I.Kumaresh 2022 Six months Internship
Development
14 Website Brand2Social J.Sathish 2022 Six months Internship
UIUX
Designer
16 Software Calotropis Sarika.B 2022 2 months Internship
Testing s/w Solutions
17 Software Calotropis Gomathi.B 2022 2 months Internship
Testing s/w Solutions
18 Software Calotropis Kaviya.V.M 2022 2 months Internship
Testing s/w Solutions
19 Software Calotropis Kavinya.P 2022 2 months Internship
Testing s/w Solutions
20 Software Calotropis Janani Priya 2022 2 months Internship
Testing s/w Solutions dharshini.S

c. Impact Analysis of industrial training

Impact on Placement
● Industrial training plays a vital role towards placement. It has an excellent impact on placement records.
● In the academic year 2019 to 2020, 20% of students are placed in well reputed multinational companies with the package of 3 to 4
LPA. 30% of students are placed with the package of 2 to 3 LPA.
● In the academic year 2020 to 2021, 20% of students are placed with the package of 3 to 4 LPA. 40% of students are placed with
the package of 2 to 3 LPA.
● In the academic year 2020 to 2021, 40% of students are placed in leading IT sectors with high packages starting from 3 to 5 LPA.
25% of students are placed with the package of 2 to 3 LPA
● The students who have done internships in reputed IT sectors were recruited in the same company with very good packages.
● The sample internship offer of student is given in Fig 2.2.5 C(1)
Fig 2.2.5 C (1) Sample Internship Offer Letter
Impact on Research Cluster
● The industrial training and internship have a good impact on the department’s research cluster. The Artificial Intelligence and
Machine Learning (AI & ML) cluster has gained more visibility with students’ contribution in research-oriented projects and
publications.
● The knowledge gained during the internship regarding state-of-the-art technology and modern tools is leveraged to model
deliverable projects.
● The number of students performing projects in AI & ML have increased by around 30% in 2019 and 2020 project batches.

D . Student feedback on initiative

Feedback is obtained from the students after the completion of the internship training program. The feedback regarding
knowledge gained, ability, working environment, achievements and obstacles/challenges are received.

Actions on Feedbacks
Feedbacks from students, industry providing internships, alumni are augmented, analyzed and actions are taken whenever required. One
of the major actions taken, from the feedback of industry experts, in the JCE regulation, is the inclusion of internship/industry training as
a course with 1 credit in the R2019.
Based on the student’s feedback to increase internship opportunities, industry-oriented courses are offered to the students and with the
completion of such courses, the deserving students list are recommended to appropriate industries for possible internship opportunities