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 Click Here
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   Click HereClick Here	Applications   of AI
3	Deep Learning Click Here	Cloud   Computing
4	Computer Networks    Click Here	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.B. KIRAN BABU	Asst. Professor	M.Tech	more
9	Mr. S. YELLAPA	Asst. Professor	M.Tech	more
10	Mrs. B.V.S.NAGA LAKSHMI	Asst. Professor	M.Tech	more
11	Mrs. N. PRASANA LAKSHMI	Asst. Professor	M.Tech	more
12	Mrs. V. KARUNA	Asst. Professor	M.Tech	more
13	Miss.V. VASANTHI	Asst. Professor	M.Tech	more
14	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.
8. Mr B.RAMASUBAIAHPublished a Paper titled, “IMPLEMENTATION OF BLOCK CHAIN IN FINANCIAL SECTOR TO IMPROVE SCALABILITY”, in Industrial Engineering JournalVolume : 52, Issue 4, No.4, April : 2023ISSN: 0970-2555.

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
40	ABHINAI   GONUGUNTLA	>DATA ANALYSIS   & DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
41	ABHINAYA PAPAIAHGARI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
42	ABHIRAM LINGAM	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	53	SUCCESSFULLY COMPLETED
43	AFSAR BAIG MEERJA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	51	SUCCESSFULLY COMPLETED
44	APARNA SELLA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	52	SUCCESSFULLY COMPLETED
45	BABA HAJVALI SHAIK	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
46	BALA ARAVIND NALI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	51	SUCCESSFULLY COMPLETED
47	BIBI   AMAMA NUZHAT SIDDIQUA KHAZI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	51	SUCCESSFULLY COMPLETED
48	CHANDANA SREE   CHINNASETTY	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	51	SUCCESSFULLY COMPLETED
49	CHERIE PRANEETHA   DUSHARA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	54	SUCCESSFULLY COMPLETED
50	DEEPAK KOPPULA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	53	SUCCESSFULLY COMPLETED
51	DEEPTI KARNATI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
52	DRAKSHAYANI   PATTIKONDA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	55	SUCCESSFULLY COMPLETED
53	GAYITHRI MARRIBOIENA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
54	GOWTHAMI SADHULA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
55	HUMAIRA SHAIK	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
56	HUSSAIN BI DUDEKULA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
57	ISWARYA PANITHIREDDY	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	48	SUCCESSFULLY COMPLETED
58	JAHIRABI SHAIK	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
59	JOTHSNA KALVA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
60	KARTHIK PENDEKANTI   NARAPPA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	47	SUCCESSFULLY COMPLETED
61	KEDARNATH NULI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
62	LIKHITHA TELUGU	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
63	MADHU KUMARI   MOLAKASEEMA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
64	MAHESWARI DADDANALA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	54	SUCCESSFULLY COMPLETED
65	MANJU RANI MAMILLA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	48	SUCCESSFULLY COMPLETED
66	MANOHAR TALARI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	51	SUCCESSFULLY COMPLETED
67	MOUNIKA TALLAPALLE	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
68	NAGA HARINI YERRAM	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
69	NAGAPAVANI   PALLEAKKIREDDYGARI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	54	SUCCESSFULLY COMPLETED
70	NAVEEN YADAV   SANDRABOINA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	51	SUCCESSFULLY COMPLETED
71	PRANEETHA MUDIYAM	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	51	SUCCESSFULLY COMPLETED
72	PUSHPAVATHI KURUVA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	53	SUCCESSFULLY COMPLETED
73	RAJESH DUDEKULA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
74	ROHITHA BONTHALA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	52	SUCCESSFULLY COMPLETED
75	RUCHITHA KOLLA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	48	SUCCESSFULLY COMPLETED
76	SABIHA SUHANA SHAIK	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	53	SUCCESSFULLY COMPLETED
77	SAI VIVARDHINI   BOGGARAPU	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
78	SESHA SAILA ANDE	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	52	SUCCESSFULLY COMPLETED
79	SHARMILA DEVI   KUDUMULA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
80	SIVA JYOTHI SAMPANGI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	58	SUCCESSFULLY COMPLETED
81	SUDIVYA SOMULA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	45	SUCCESSFULLY COMPLETED
82	SURENDRA ETIKALA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	60	ELITE
83	UNNIFA NAGADCHI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
84	VASAVI AITHA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
85	VENKATA GURU PRASAD   AVISINENI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	48	SUCCESSFULLY COMPLETED
86	VENKATA   LAKSHMANA SWAMY SRIKAKULA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
87	VENKATA PAVAN KUMAR   INTI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	48	SUCCESSFULLY COMPLETED
88	VENKATA RAMUDU MANDLA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	47	SUCCESSFULLY COMPLETED
89	VENKATA SURESH   GORUSETTY	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
90	VIJAYA LAKSHMI   RAMIREDDY	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	48	SUCCESSFULLY COMPLETED
91	VINAY KUMAR REDDY   PICCHALA	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	47	SUCCESSFULLY COMPLETED
92	YATHENDRA REDDY   AMBATI	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	49	SUCCESSFULLY COMPLETED
93	VIJAYA KUMAR REDDY   ANNAREDDY	DATA ANALYSIS &   DECISION MAKING-III	JULY-OCT-2023	50	SUCCESSFULLY COMPLETED
94	SHAIK FAIZULLA	REINFORCEMENT   LEARNING	JULY-OCT-2023	55	SUCCESSFULLY COMPLETED
95	M TANVEER MULLA	REINFORCEMENT   LEARNING	JULY-OCT-2024	55	SUCCESSFULLY COMPLETED
96	P SAIHARSHAD	REINFORCEMENT   LEARNING	JULY-OCT-2025	57	SUCCESSFULLY COMPLETED
97	SANIYA SHAIK	REINFORCEMENT   LEARNING	JULY-OCT-2026	50	SUCCESSFULLY COMPLETED

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

EVENTS

1. A Nationwide Innovation coding Marathon (Coding Gala) organized by Google Developer Student Club in association with CSE-AI department on 17th-February-2024
2. One day guest lecture on “Introduction to Data Science, Career path and Emerging Technologies” by T.Sai GuruMahesh, SolutionArchitect,Infosys,Hyderabad on 24-02-2024(Saturday).