About Us


Artificial intelligence is a large multidisciplinary field encompassing computer science, Deep learning and cognitive science, linguistics, statistics, applied mathematics, and many other fields of study. The need for students with the necessary abilities in CSE (AI) has increased recently due to the global market's need. Applications for AI are in high demand in industry, robotics, space technology, and many other fields. Modern computing systems with traits of human intelligence, such as perception, reasoning, learning, and action, are made possible by AI and ML.


The B.Tech. CSE (Artificial Intelligence) program is an emerging area, and the course is started in the academic year 2020–2021, with a vision to build an ecosystem to contribute to society by producing leaders in Artificial intelligence through quality education. The goal of the CSE (AI) course is to prepare students for expertise in cutting-edge fields like machine learning and deep learning, in addition to imparting knowledge in fundamental technologies like data mining and data modeling. The purpose of artificial intelligence (AI) is to teach machines to use case studies.


The faculty in the department is highly skilled and knowledgeable. The faculty's diverse specializations in computer science and engineering allow them to transmit their knowledge in a range of UG program courses. The department's teaching approach goes above and beyond the university's prescribed syllabus to satisfy the demands of modern industry.


The department has state-of-the-art facilities with recognized labs that satisfy industry standards. The department has highly motivated faculty members who are teaching with the latest tools and technologies in accordance with the demands of industries.


All the laboratory of the department is established with well equipment and spaciously. The equipment student ratio is maintained as 1:1.


VISION


To build an ecosystem to contribute to society by producing leaders in Artificial Intelligence through quality education.



Mission


  • Train the students in the state-of-the-art technologies of AI.
  • Sensitize students to solve societal issues through AI techniques by inculcating values and ethics.
  • Enhance employability and entrepreneurial skills in the field of AI through experiential and self-directed learning.

Program Outcomes(PO's)


PO Number Graduate Attributes PO Statements
1 Engineering Knowledge Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex Engineering problems.
2 Problem Analysis Identify, formulate, review research literature, and analyze Complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3 Design/Development of Solutions Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety , and the cultural, societal , and environmental considerations.
4 Conduct Investigations of Complex Problems Ability to review research literature, use research methods to execute project and synthesize the problem to provide valid conclusions.
5 Modern Tool Usage Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
6 The Engineer and Society Apply reasoning informed by the contextual Knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
7 Environment and Sustainability Understand the impact of the professional engineering solutions in societal and environmental contexts, and Demonstrate the knowledge of, and need for sustainable development.
8 Ethics Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9 Individual and team work Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10 Communication Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11 Project Management and Finance Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
12 Life-long Learning Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Educational Objectives(PEOs):


PEO1:Graduates will be capable of adapting to new technologies and systems, making contributions, and innovating in the key domains of artificial intelligence.
PEO2:Graduates will be ethically and socially responsible solution providers and entrepreneurs in the field of Computer Science and Engineering with AI Specialization.
PEO3:Graduates will be able to successfully pursue higher education in AI Specialization.

Program Specific Outcomes(PSOs):


PSO1:Build skills to develop software applications in specialized areas of Artificial Intelligence and Machine Learning.
PSO2:Apply the various AI and ML techniques for industrial applications in the areas of Deep Learning, Cloud Computing, Natural Language Processing, and emerging areas.

Program Assessment Committee (PAC)

The Program Assessment Committee (PAC) has been formed for monitoring of Computer Science and Engineering (Artificial Intelligence) Departmental activities. The PAC consists of faculty members and technical staff of the department who periodically monitors the departmental activities and evaluate different parameters. Composition: The present composition of the PAC is as follows.


SNO

Name of the member

Designation

Address

1

Dr P Mallikarjuna Reddy

Chairman

Principal

2

M.Subba Reddy

Convener

Head of the department

3

B.Rama Subbaiah

Member

A senior faculty member ofthe department

4

Dr.V.Lokeswara Reddy

Member

Professor & HOD, Department of CSE,
KSRM College of Engineering,Kadapa

5

Chandra Sekhar Reddy Mandli

Member

Technical Leader, Wipro, Bangalore

6

K. Alluraiah

Member

A senior faculty member ofthe department

7

T.NiranjanBabu

Member

senior faculty member of thedepartment

8

B.Venkata Sai Naga Lakshmi

Member

A senior faculty member ofthe department

Programs Offered


PROGRAM: B.Tech (CSE) - AI


Intake : 180 seats

ACADEMIC REGULATIONS FOR UG (B.Tech):

  1. Regulation scheme R20   click here
  2. Regulation scheme R23   click here

Academic-Calendars





Academic Calendars (A.Y – 2023-24)


UG

  1. B.Tech-First Year
  2. B.Tech-Second Year
  3. B.Tech-Third Year
  4. B.Tech-Final Year



lecture Notes


I-YEAR(R23)
   
S.NO   
   
I-YEAR-I-SEM(R23)   
   
I-YEAR-II-SEM-(R23)   
   
1   
   
Introduction   to Programming   
   
Data   Structures   
II-YEAR(R20)
   
S.NO   
   
SEMESTER-I   
   
SEMESTER-II   
   
1   
   
Advanced Data Structure   & Algorithms Click Here
   
Database Management   Systems   
   
2   
   
Object Oriented   Programming Through Java Click Here
   
Operating   Systems   
   
3   
   
Computer Organization Click Here
   
Artificial Intelligence Click Here
III-YEAR(R20)
   
S.NO   
   
SEMESTER-I   
   
SEMESTER-II   
   
1   
   
Software Engineering for   AI Click Here
   
Natural   Language Processing   
   
2   
   
Machine Learning   
   
Applications   of AI   
   
3   
   
Deep Learning Click Here
   
Cloud   Computing   
   
4   
   
Computer Networks   
   
Internet   of Things   
IV-YEAR(R20)
   
1   
   
Intelligent Information   Retrieval Systems Click Here
   
2   
   
AI for Image Analysis Click Here
   
3   
   
Reinforcement Learning   

HOD'S MESSAGE

Empowering Tomorrow's Innovators

I hope this message finds you in good health and high spirits. I'm pleased to present a few amazing achievements from myComputer Science and Engineering(Artificial Intelligence) department. As the department's head, I get great delight in seeing the remarkable contributions and successes of our hard-working faculty and students.
  1. Excellence: Our department continues to uphold high academic standards, fostering an environment that nurtures curiosity and innovation. The commitment of our faculty to deliver quality education is reflected in the outstanding academic performance of our students in AI-related courses.
  2. Cutting-Edge Research and Publications: I am delighted to inform you that our faculty members have been actively engaged in cutting-edge research, leading to publications in reputed journals and conferences. The pursuit of knowledge and the quest for innovative solutions drive our researchers, contributing significantly to the academic and research landscape.
  3. Student Achievements: Our students have been shining in various AI competitions and hackathons, showcasing their talent and applying their knowledge to real-world challenges. Their accomplishments not only bring recognition to the department but also demonstrate the practical skills they are gaining through our programs.
  4. State-of-the-Art Facilities:I am pleased to announce that we have enhanced our department's infrastructure with state-of-the-art facilities, including advanced laboratories equipped with the latest tools and technologies. These resources empower our students to engage in hands-on learning and practical applications of AI concepts.
  5. Guest Lectures and Workshops:To enrich the learning experience, we have organized a series of guest lectures and workshops featuring experts from academia and industry. These events provide our students with valuable insights into the latest trends and advancements in the dynamic field of artificial intelligence.
As we continue on this exciting journey of knowledge and innovation, I want to express my gratitude to the entire CSE(AI) Department community for their hard work, dedication, and passion. Together, we are shaping the future of our students at SVR ENGINEERING COLLEGE.
Let's keep the spirit of collaboration and excellence alive in our pursuit of knowledge.
Best regards,
Head of the Department
CSE(Artificial Intelligence) Department
SVR ENGINEERING COLLEGE,NANDYAL

Our Faculty


SNO NAME OF THE FACULTY DESIGNATION QUALIFICATION Profile
1 Dr. S. JAGANNATHAN Professor Ph.D more
2 Mr.M.SUBBA REDDY Assoc Professor M.Tech [Ph.D] more
3 Mr. B. RAMA SUBBAIAH Assoc. Professor M.Tech [Ph.D] more
4 Mr. K.ALLURAIAH Asst. Professor M.Tech [Ph.D] more
5 Mr.T.NIRANJAN BABU Asst. Professor M.Tech [Ph.D] more
6 Mr. S. ASADULLA Asst. Professor M.Tech more
7 Mr. B.JOSEPH HUDSON Asst. Professor M.Tech more
8 Mr. T.MAHAMMAD SHARIF Asst. Professor M.Tech more
9 Mr.B. KIRAN BABU Asst. Professor M.Tech more
10 Mr. S. YELLAPA Asst. Professor M.Tech more
11 Mrs. A. SWETHA Asst. Professor M.Tech more
12 Mrs. B.V.S.NAGA LAKSHMI Asst. Professor M.Tech more
13 Mrs. N. PRASANA LAKSHMI Asst. Professor M.Tech more
14 Mrs. V. KARUNA Asst. Professor M.Tech more
15 Mr.S. HUSSAIN BASHA Asst. Professor M.Tech more
16 Miss.V. VASANTHI Asst. Professor M.Tech more
17 Mrs.K.MANIKYAMMA Asst. Professor M.Tech more

CSE(ARTIFICIAL INTELLIGENCE) LABS


The Department consists of three laboratories and Internet facility with 15 Mbps bandwidth. These labs are a constant hub of activity. These computer labs are used to enhance programming ability in various languages and packages to the students. The following are the laboratories which were established.


  1. Computer Lab-1: In this lab there are total 35Acer Veriton-M200-H-510 systems.
  2. Computer Lab-2: In this lab there are total 35 Acer Veriton--M200-H-510 systems.
  3. Computer Lab:3: In this lab there are total 72 Hp Systems.

Various Labs are Conducted as per the Curriculum


  1. IT Work Shop
  2. Data Structure lab
  3. Engineering Workshop
  4. Data Structure lab
  5. Advance Data Structures and Algorithms Lab
  6. Skill Oriented Course – I (Web application Development)
  7. Database Management System Lab
  8. Operating System Lab
  9. Artificial Intelligence Lab
  10. Skill Oriented Course – II (Exploratory Data Analysis with R)
  11. Computer Networks Lab
  12. Machine Learning Lab
  13. Deep Learning Lab
  14. Skill Oriented Course – III (Web Application Design)
  15. Internet of Things
  16. Natural Language Processing Lab
  17. Applications of AI Lab
  18. Cloud Computing Lab
  19. Skill Oriented Course – IV (Soft Skills)
  20. Skill Oriented Course – V(Conversational AI)

PUBLICATIONS


RESEARCH PUBLICATIONS AY(2022-2023)


  1. Mr K.ALLURAIAH, DETECTION OF NON HELMET RIDERS AND EXTRACTION OF LICENSE PLATE NUMBER USING YOLO V2 AND OCR METHOD”, in JOURNAL OF ENGINEERING SCIENCESVol 14 Issue 04,2023 ISSN: 0377-9254.
  2. MrsB V S N LAKSHMIPublished a Paper titled, “STUDY OF BLOCKCHAIN TECHNOLOGY IN FARMERS PORTAL”, in JOURNAL OF ENGINEERING SCIENCESVol 14 Issue 04,2023 ISSN: 0377-9254.
  3. Mr T.MD SHARIEFPublished a Paper titled, “SSLA BASED TRAFFIC SIGN AND LANE DETECTION FOR AUTONOMOUSCARS”, in Industrial Engineering JournalVolume : 52, Issue 4, No.4, April : 2023ISSN: 0970-2555.
  4. Mrs V KARUNAPublished a Paper titled, “DATA ANALYSIS BY WEB SCRAPING USING PYTHON”, in Industrial Engineering JournalVolume : 52, Issue 4, No.4, April : 2023ISSN: 0970-2555.
  5. Mrs V KARUNAPublished a Paper titled, “INTELLIGENT VIDEO SURVELLENCE USING DEEPLEARNING”, in Industrial Engineering JournalVolume : 52, Issue 4, No.4, April : 2023ISSN: 0970-2555.
  6. Mrs A SWETHA Published a Paper titled, “VEHICAL MAINTENCES SERVICES RESPONSE AND ANALYSIS WITH EMPHASIS”, in JOURNAL OF ENGINEERING SCIENCESVol 14 Issue 04,2023 ISSN: 0377-9254.
  7. Mrs A.SwethaPublished a Paper titled, “AN EXAMINATION SYSTEM AUTOMATING USINGNATURAL LANGUAGE PROCESSING”, in JOURNAL OF ENGINEERING SCIENCESVol 14 Issue 04,2023 ISSN: 0377-9254.

RESEARCH PUBLICATIONS AY(2021-2022)


  1. Mr B. RAMA SUBBAIAH, BLOCK CHAIN TECHNOLOGY IN FARMERS PORTAL”, in journal of Engineering Sciences (JES), ISSN:0377-9254, June 2022.
  2. Mr T. MD. SHAREEF Published a Paper titled, “AN EXAMINATION SYSTEM AUTOMATION USING NATURAL LANGUAGE PROCESSING”, in journal of Engineering Sciences (JES), ISSN:0377-9254, June 2022.
  3. Mr O. SAMPATH Published a Paper titled, “CONTENT ANALYSIS OF MESSAGES IN SOCIAL NETWORKS IDENTIFICATION OF SUICIDAL”, in journal of Engineering Sciences (JES), ISSN:0377-9254, June 2022.
  4. Mrs A.SWETHA Published a Paper titled, “CRYPTOCURRENCY PRICE ANALYSIS WITH ARTIFICIALINTELLIGENCE”, in Journal of the Maharaja Sayajirao University of BarodaISSN :0025-0422January 2022.
  5. Mr B.RAMASUBBAIAH Published a Paper titled, “MACHINE LEARNING FOR WEB VULNERABILITYDETECTION: THE CASE OF CROSS-SITE REQUESFORGERY”, in Journal of Fundamental & Comparative ResearchVol. VIII, No. 1(XXVII) : 2022ISSN: 2277-7067, June-July 2022.
  6. Mr O.SAMPATH Published a Paper titled, “PREDICTING FLIGHT DELAYS WITH ERRORCALCULATION USING MACHINE LEARNED CLASSIFIERS”, in Journal of Fundamental & Comparative ResearchVol. VIII, No. 1(XXVII) : 2022ISSN: 2277-7067, Oct-Nov 2022./li>

NPTEL FACULTY PARTICULARS


S.No NAME OF THEFACULTY NAME OF THECOURSE DATE SCORE (%) GRADE
1. SUBBAREDDY MERUVA PYTHON FORDATASCIENCE AUG-SEP 2019 71% ELITE
2. SUBBAREDDY MERUVA BIG DATA COMPUTING FEB-APR 2019 68% ELITE
3. SUBBAREDDY MERUVA DATA MINING FEB-MAR 2018 75% ELITE
4. VOLETI SAMBA SIVA RAO DATABASE MANAGEMENTSYSTEMS AUG-SEP 2018 84% SUCEESFULY COMPLETED

NPTEL STUDENT PARTICULARS


SNO NAME OF THE   STUDENT NAME OF THE COURSE DATE SCORE (%) GRADE
1 Afrin Malkibaigari Introduction to   Internet of Things JAN-APR-2023 66 ELITE
2 Bosani Anitha Introduction to   Internet of Things JAN-APR-2023 63 ELITE
3 Chakradhar Introduction to   Internet of Things JAN-APR-2023 62 ELITE
4 Dharani Allu Introduction to   Internet of Things JAN-APR-2023 71 ELITE
5 Divyasree Telugu Introduction to   Internet of Things JAN-APR-2023 55 SUCCESSFULLY   COMPLETED
6 Faizan Shaik Introduction to   Internet of Things JAN-APR-2023 62 ELITE
7 Puduru Greeshma Reddy Introduction to   Internet of Things JAN-APR-2023 57 SUCCESSFULLY   COMPLETED
8 Shaik Gulab Basha Introduction to   Internet of Things JAN-APR-2023 54 SUCCESSFULLY   COMPLETED
9 Guru Prasanna Gummadi Introduction to   Internet of Things JAN-APR-2023 65 ELITE
10 Kumithi Gurunath Introduction to   Internet of Things JAN-APR-2023 68 ELITE
11 Haritha Mangali Introduction to   Internet of Things JAN-APR-2023 64 ELITE
12 Shaik Masuldar Afreen Introduction to   Internet of Things JAN-APR-2023 60 ELITE
13 Negala Prashanth Introduction to   Internet of Things JAN-APR-2023 57 SUCCESSFULLY   COMPLETED
14 Prathyusha Mallugalla Introduction to   Internet of Things JAN-APR-2023 70 ELITE
15 Muga Praveen Kumar   Yadav Introduction to   Internet of Things JAN-APR-2023 54 SUCCESSFULLY   COMPLETED
16 Priya Mounika   Gopavaram Introduction to   Internet of Things JAN-APR-2023 68 ELITE
17 Meeniga Ramya Introduction to   Internet of Things JAN-APR-2023 56 SUCCESSFULLY   COMPLETED
18 Shaik Ruheena Tanveer Introduction to   Internet of Things JAN-APR-2023 69 ELITE
19 Patti Rukman Gada Introduction to   Internet of Things JAN-APR-2023 54 SUCCESSFULLY   COMPLETED
20 Nandipathi Sai   Chaithanya Introduction to   Internet of Things JAN-APR-2023 64 ELITE
21 Sai Harshitha   Kakanuru Introduction to   Internet of Things JAN-APR-2023 66 ELITE
22 Bantrothu Sai   Susmitha Introduction to   Internet of Things JAN-APR-2023 54 SUCCESSFULLY   COMPLETED
23 Kalva Sanjay Introduction to   Internet of Things JAN-APR-2023 66 ELITE
24 Gsazaruddin Introduction to   Internet of Things JAN-APR-2023 60 ELITE
25 Shashikala Vanipenta Introduction to   Internet of Things JAN-APR-2023 69 ELITE
26 Sheshananda Reddy   Renati Introduction to   Internet of Things JAN-APR-2023 58 SUCCESSFULLY   COMPLETED
27 Gotike Siva Keerthana Introduction to   Internet of Things JAN-APR-2023 65 ELITE
28 Modem Siva Mallika Introduction to   Internet of Things JAN-APR-2023 69 ELITE
29 Sowjanya Neerukattu Introduction to   Internet of Things JAN-APR-2023 75 ELITE+SILVER
30 Sreelatha Ambati Introduction to   Internet of Things JAN-APR-2023 66 ELITE
31 Amarasani Sri Aravind Introduction to   Internet of Things JAN-APR-2023 60 ELITE
32 Jagati Srinivas Goud Introduction to   Internet of Things JAN-APR-2023 63 ELITE
33 Supraja Kakanuru Introduction to   Internet of Things JAN-APR-2023 63 ELITE
34 Dadana Surya Sumanth   Reddy Introduction to   Internet of Things JAN-APR-2023 61 ELITE
35 Yeruvaswetha Reddy Introduction to   Internet of Things JAN-APR-2023 63 ELITE
36 Uma Devi Banda Introduction to   Internet of Things JAN-APR-2023 61 ELITE
37 Varshini Mukkamalla Introduction to   Internet of Things JAN-APR-2023 58 SUCCESSFULLY   COMPLETED
38 Nethi Venkata   Bhuvaneswar Introduction to   Internet of Things JAN-APR-2023 54 SUCCESSFULLY   COMPLETED
39 Boggu Vijaykumar Introduction to   Internet of Things JAN-APR-2023 75 ELITE+SILVER

MENTORS LIST


Each mentor is assigned with 15 students. Student details are collected by the mentors. Students are mentored at regular intervals by the mentors.

1 Number of mentors 15
2 Number of students per mentor 15
3 Frequency of meeting Twice in a semester and as and when required.

Students having less attendance are counseled by mentors at regular intervals. Mentors will call the parents of the students having very low attendance. After mid exams the marks will be sent to the parents through SMS. Their parents are also informed for taking connective measures.

Acadmic year 2023-2024


   
S.NO   
   
Year   
   
Name of the   Mentor   
   
H.T.No   
   
Number of   students   
   
1   
   
IV-CSE(AI)   
   
Mr.B.RAMA SUBBAIAH   
   
20AM1A3101-20AM1A3116   
   
15   
   
2   
   
Mr.K. ALLURAIAH   
   
20AM1A3117-20AM1A3131   
   
15   
   
3   
   
Mr.T.NIRANJAN BABU   
   
20AM1A3132-20AM1A3146   
   
15   
   
4   
   
Mrs.A.SWETHA   
   
20AM1A3147-20AM1A3156
   
21AM5A3101   
   
11   
   
1   
   
III-CSE(AI)   
   
Mr.T.MAHAMMAD SHARIEF   
   
21AM1A3101-21AM1A3116   
   
15   
   
2   
   
Mr.B.JOSEPH HUDSON   
   
21AM1A3117-21AM1A3131   
   
15   
   
3   
   
Mrs.B.VENKATA SAI NAGA LAKSHMI   
   
21AM1A3132-21AM1A3146   
   
15   
   
4   
   
Mrs.N.PRASANNA LAKSHMI   
   
21AM1A3147-21AM1A3161   
   
15   
   
5   
   
Mrs.V. KARUNA
   
   
   
21AM1A3162-21AM1A3178   
   
15   
   
6   
   
Mr.SESHAM YELLAPPA   
   
21AM1A3179-21AM1A3194   
   
15   
   
7   
   
Mr.B. KIRAN BABU   
   
21AM1A3195-21AM1A31A9   
   
15   
   
8   
   
Mr.S. HUSSAIN BASHA   
   
21AM1A31B0-21AM1A31C4   
   
15   
   
9   
   
Miss.V. VASANTHI   
   
21AM1A31C5-21AM1A31D2, 22AM5A3101-22AM5A3111   
   
19   
   
1   
   
II-CSE(AI)   
   
Mrs.K.MANIKYAMMA   
   
22AM1A3101-22AM1A3115   
   
15   
   
2   
   
Mr.S ASADULLA   
   
22AM1A3116-22AM1A3130   
   
15   
   
3   
   
Mrs.A.SWETHA   
   
22AM1A3131-22AM1A3145   
   
15   
   
4   
   
Mrs.V. KARUNA
   
   
   
22AM1A3146-22AM1A3154,22AM1A3156-22AM1A3161   
   
15   
   
5   
   
Mr.K. ALLURAIAH   
   
22AM1A3162-22AM1A3165,22AM1A3167-22AM1A3177   
   
15   
   
6   
   
Mr.B.RAMA SUBBAIAH   
   
22AM1A3178-22AM1A3192   
   
15   
   
7   
   
Mr.SESHAM YELLAPPA   
   
22AM1A3193-22AM1A31A7   
   
15   
   
8   
   
Miss.V. VASANTHI   
   
22AM1A31A8-22AM1A31B4
   
21AM1A3172,21AM1A3183,21AM1A31B4
   
23AM5A3101-23AM5A3103   
   
13   

Acadmic year 2022-2023


   
S.NO   
   
Year   
   
Name of the   Mentor   
   
H.T.No   
   
Number of   students   
   
1   
   
III-CSE(AI)   
   
Mrs. NARLA LAKSHMI PRASANNA   
   
20AM1A3101-20AM1A3116   
   
15   
   
2   
   
Mr. RAMA SUBBAIAH BOYA   
   
20AM1A3117-20AM1A3131   
   
15   
   
3   
   
Mr. SHAIK ASADULLA   
   
20AM1A3132-20AM1A3146   
   
15   
   
4   
   
Mrs. ANDURI SWETHA   
   
20AM1A3147-20AM1A3156
   
21AM5A3101   
   
11   
   
1   
   
II-CSE(AI)   
   
Mr T.Md.Sharief   
   
21AM1A3101-21AM1A3116   
   
15   
   
2   
   
Mr B.Shantha Kumar   
   
21AM1A3117-21AM1A3131   
   
15   
   
3   
   
Mr S.Yellappa   
   
21AM1A3132-21AM1A3146   
   
15   
   
4   
   
Mr K.Alluraiah   
   
21AM1A3147-21AM1A3161   
   
15   
   
5   
   
Mr B.Joseph Hudson   
   
21AM1A3162-21AM1A3178   
   
15   
   
6   
   
Mrs B.V.S.N.Lakshmi   
   
21AM1A3179-21AM1A3194   
   
15   
   
7   
   
Mrs V.Karuna   
   
21AM1A3195-21AM1A31A9   
   
15   
   
8   
   
Mr B.Shantha Kumar   
   
21AM1A31B0- 21AM1A31C4   
   
15   
   
9   
   
Mrs. ANDURI SWETHA   
   
21AM1A31C5-21AM1A31D2, 22AM5A3101-22AM5A3111   
   
19   

Acadmic year 2021-2022


   
S.NO   
   
Year   
   
Name of the   Mentor   
   
H.T.No   
   
Number of   students   
   
1   
   
II-CSE   
   
Mrs. DHARANI SUDHA    
   
20AM1A3101-20AM1A3116   
   
15   
   
2   
   
Mr. . PAVULURI SREEKANTH REDDY    
   
20AM1A3117-20AM1A3131   
   
15   
   
3   
   
Mr. ORUGANTI SAMPATH    
   
20AM1A3132-20AM1A3146   
   
15   
   
4   
   
Mr. . PAVULURI SREEKANTH REDDY   
   
20AM1A3147-20AM1A3156
   
21AM5A3101   
   
11