Artificial Intelligence

Programs Offered

B.Tech (Artificial Intelligence)
Intake – 120

Core Competencies

  • Data Sciences
  • Machine Learning
  • Image Processing
  • IOT
  • FOSSEE

Vision

To evolve as a renowned department, producing artificial intelligence developers with excellence in education, interdisciplinary participation, industry preparedness and research for greater cause of society.

Mission

  • Provide ideal training using inventive concepts and technologies in Artificial Intelligence (AI)
  • Transform the students into technically competent and socially responsible professionals
  • Inculcate professional ethics and values, leadership and team building skills to address industrial and societal concerns
  • Model the department as a front-runner in AI education and research by establishing centers of excellence

About AI Department

Overview

Artificial Intelligence (AI) Department is established in 2019 with an intake of 60 students and the present intake is 120. The Department is presently offering B.Tech course in AI&DS. The BOS (Board of Studies) of AI Department is having strong industry and academia representatives from Microsoft, EPAM Solutions and United India Online. The first footprint of AI in VJIT intends to serve the industry as source of talent through latest academic outreach programs and concentrates to expand its academic areas on industry requirement. The department endeavours to craft good collaboration with industries which are working in AI domain. It aims to groom the students in careers who can rapidly integrate and synchronize the use of sophisticated computer software and programs in addition to specific skill sets to support and lead projects on robotics, automation in AI.

It is concentrating on the following areas mainly. –

  • Faculty and Student Certifications
  • Students learning groups in the Area of Data Science, IoT, Machine Learning, Deep Learning, Gaming etc.
  • Making the students strong in basic and advance coding
  • Motivating the students confident on self-learning for beyond the syllabus content for better learning.
  • In total about 200 certifications are done by 60 AI students in 1st 2 semesters.
  • Encouraging the students to do projects from II year onwards.
  • Motivating the students to do certification for every lab subject.

Prominent Features

  • Dept. of AI conducted Student training program by Hexart and doing 6 internships in Hexart which is collaborated with Hexagon.
  • Advanced computing laboratories of latest configurations.
  • The lab equipped with an enriching hardware and software ecosystem, allowing students to learn skills like Robotics, IOT, Coding, Artificial Intelligence, Machine Learning, and Tinkering.
  • Strong Mentor – Mentee System
  • Excellent academics and placement activities
  • Meritorious students are offered scholarships every year.
  • 24×7 availability and accessibility of state of the art data centre with high end rack servers, Routers etc
  • Well qualified and experienced faculty members
  • Offering additional Virtual Lab Classes, Live Classes, Tutorial and Certificate courses through eminent professors
  • Project Based Study
  • Industry Oriented Curriculum. Robotics, Machine Learning, Cloud Technologies, Mobile Application Development, Data Analytics and other latest technologies have been included in the curriculum in line with industry expectations.
  • Memorandum of Understanding with IIIT Enhance Education Hyderabad, Byndr Learning Management System,IIT Bombay Spoken Tutorials, Robofest and loncudos.
  • The department constituted various clubslike technical club, art club, cultural club, photography club, sports club, innovation club to support co-curricular and extra-curricular interests of the students.
  • Continuous Community connect through NSS .The students of AI actively participate in different NSS activities like blood donation, tree plantation, awareness programs and relief collection & distribution programs whenever required.
  • Research within the Department is grouped into Eight clubs such as: Robotics Club, The NLP and Deep Learning Club, The Data Science Club, Amazon Web Services Club, The Drone Club, Internet of Things Club, AI Gaming Club.

Mou’s

AI Team

Dr. A. Obulesh

Dr. A. Obulesh

M.Tech, Ph.D

Head of the Department

Dr. A. Obulesh working as Assoc. Prof. at Vidya Jyothi Institute of Technology, in the Dept. of Artificial Intelligence has an incredible experience of 14 years in academics under various capacities. He received his Ph.D. in Computer Science & Engineering from Jawaharlal Nehru Technological University, Kakinada (JNTUK), India. The M.Tech. in CSE from Rajeev Gandhi Memorial College of Engineering and Technology(RGMCET), Nandyal which is affiliated to JNT University, Hyderabad, in 2006.

He has published 32 research papers in various National, International Scopus/ SCI journals and conferences proceedings. He worked as Convener for Artificial Intelligence and Machine learning Research Wing and he established Machine Learning and Artificial Intelligence (MALAI) Club in association with Wave Labs in Anurag University (AU), Hyderabad within the Department. He is Member, Board of studies, Department of Artificial Intelligence (AI), AU and an active participant in NBA, NAAC accreditation work at department level. He acted as a co-convener for the AICTE-STTP, & international event IEEE-AHCSSC-2020. He is the resource persons for many FDPs and STTPs. His research Interests are Artificial Intelligence, Machine learning, Image Processing and Computer Vision.

Faculty Members

Name Designation
Dr. A. Obulesh HOD
Dr Ampavathi Anusha Associate Professor
Ms Kandula Neha Assistant Professor
Ms Azra Amreen Assistant Professor
Ms K Kalyani Assistant Professor
Dr Peddireddy Bhargavi Associate Professor
Mr Dasu Vaman Ravi Prasad Assistant Professor
Mr N Phani Kumar Assistant Professor
Ms Saritha Konda Assistant Professor
Mr Kota Pratap Reddy Assistant Professor
Mr Mylaram Swapna Assistant Professor
Ms Dasari Anusha Assistant Professor
Mr R Roshan Sagar Assistant Professor
Mrs Ch Swetha Assistant Professor
Mr Atmakur Vijay Kumar Assistant Professor
Mrs Y Uma Mythraye Assistant Professor
Mrs Aliya Tahseen Assistant Professor
Mr M Ravi Assistant Professor
Mrs Kunduru Nirosha Assistant Professor
Mrs sowmya srikande Assistant Professor
Dr Hephzi Punithavathi Associate Professor
Mrs Shaik Gousiya Begum Assistant Professor
Mr Shavva Krishna Assistant Professor
Dr P Rambabu Associate Professor
Ms Kothi Shravya Assistant Professor
Mr Ratnakarbabu Mikkili Assistant Professor
Mrs Katta Santhi Priya Assistant Professor

Outcome Based Education

PEO's
PEO1: Graduates will be able to solve issues creatively, communicate effectively, and work efficiently in multi-disciplinary teams with ethics & values.

PEO2: Graduates will be able to use their knowledge and abilities to grow in their careers, pursue advanced degrees and develop entrepreneur skills.

PEO3: To be engaged in life-long learning and research activities and promote societal progress.

PO's

Engineering Graduates will be able to:

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
  2. Problem analysis: Identify, formulate, 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 public health and safety, and cultural, societal, and environmental considerations.
  4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of t h e information to provide valid conclusions.
  5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling 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 the 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.
PSO's
PSO1: Acquire the practical skills in emerging technologies and in-open source platforms related to artificial intelligence and

PSO2: Apply relevant techniques and modern emerging tools in the areas of Healthcare, Education, Agriculture, Smart systems & in all multi-disciplinary problems.

PSO3: An innovative career path to entrepreneurship and life-long learning with moral and ethical values.

Life @ AI Department

Facilities

Events / Activities / News

Stay connected and informed with latest engineering news and events, and engage with the college community.

Achievements

Department Achievements

Faculty Achievements

  • A.Obulesh published a book titled “Basics Of Artificial Intelligence : Concepts And Applications”Academic Guru.
  • Faculty have applied 2 patents in various Emerging fields of which 1 granted.
  • A.Obulesh, speaker for sharing Deep Learning concepts to students in CMR college,Hyderabad.
  • A.Obulesh participated in Panel discussion in ICCIDE International Conference -2023.
  • A.Obulesh, delivered lecture on Machine Learning Models and Deep Learning at CMR campus.
  • A.Obulesh and Ms.Nirosha conducted ML using Python to all other department students in VJIT.
  • Department conducted IOT case study based workshop to students by IOT expert Mr.G.Balaram, Anurag University.
  • Department conducted workshop on NLP to AI Students by Dr.N.V Ganapathi Raju,HOD –IT,GRIET.
  • Conducted various seminars and guest lectures by Industry experts like Prof.Sachin Kamar.
  • Faculty have applied 2 patents in various Emerging fields of which 1 granted.
  • Around 10 papers published by faculty in various International and National Journals during last two years.
  • Certified in NPTEL Courses
  • Faculty certified in Pedagogy on Teaching and Learning from IIT Bombay
  • CISCO academy on Cyber Security
  • MOODLE Learning Management System from IIT Bombay
    Foundation program on ICT from IIT Bombay
  • Established IIT Bombay Remote Center, organized workshops and Certification Programs
    View List of Certifications

Student Achievements

  • AI Department IV Year Students got placed with 50 Multiple Offers and 35 Single Offers in different companies among 61 students.
  • Komuravalli Suchetha IV Year -AI Department grabbed with highest package with 11 LPA in IBM.
  • Prabhath Kumar Rayabarapu IV Year -AI Department selected in Techgai with 8 LPA.
  • 2 Students from IV Year -AI Department selected in Technovert with 6.5 LPA.
  • 7 Students from IV Year -AI Department selected in Eidiko with 6.2 LPA.
  • 7 Students from IV Year -AI Department selected in ADP(2), VITVIT(4) and Innova(1) companies with 6 LPA.
  • 11 Students from IV Year -AI Department selected in Virtusa with 5 LPA.
  • 8 Students from IV Year -AI Department selected in Cognizant with 4 LPA.
  • 11 Students from IV Year -AI Department selected in Sutherland(1) , Chegg (3) and Focus Edumatics(3) companies with more than 2 LPA.
  • Hemanth Sai, IV year Shortlisted for Amart India Hackathon 2022 finals under Software Edition.
  • V. Pawan and Ms.Yashvi K, IV Year got paid internship in ADP .
    D. Rohan, IV Year got internship in DRDO.
  • Satwik Sunnam – IV Year received internship in Sony Research India.
  • Mekala Bala Ashritha Reddy & Komuravelli Suchitha , IV Year, got scholarship of 80K from by Bartelsman technology Scholarship by UDACITY.
  • Rayabarapu Prabhath Kumar, IV Year received scholarship worth of 30K from Macquarie Group Scholarship (Edx Course).
  • Srikari Rallabandi III Year is working as Google Women Engineering Program Trainee.
  • Chetelli Vinay Reddy, III Year has achieved certification on “Geo-Spatial Applications For Forest Ecosystem Analysis”, “Satellite Remote Sensing” and “Machine Learning with Deep Learning” concepts on real world satellites and Google map applications conducted by IIRS, ISRO by specialists from ISRO and IITs and is now eligible for further examinations.
  • Satwik Sunnam, IV Year selected as a Data Engineer at 31st Research Private Limited with package of 3,60,000 LPA.
  • YVD Krishna Meghana, S. Tejaswi, Zaib Unnisa Nayeem, Y. Keerthi Chowdary, A. Sai Harshitha, G. Sravan Reddy, M. Barghav of AI Dept. have won 5th and 6th positions in Data Hackathon organized by Anurag University in association with CSI Hyderabad chapter.
  • Raziddin , P.Rohith & Shantana Kumar won consolation prize in VJIT -36 Hackathon
  • Praveen Martin, Abdul Omer Farooq, Bachu Tharun Kumar and Jada Kashi Nath II Year, got 2nd place in Ideathon conducted by Google.
  • Srikari, III year did Research and dev Internship @InvenioLSI.
    K.Madhan, T.Anil, P.Karthik, J. Sri Charan Mohan have contributed to Ton web3 open source network.
  • Srikari , III year Published 3 Research papers at different peer-reviewed journals and at ICCIDE conference 2023.
  • Anil has achieved 2nd place in google devfest Quiz.
  • Srikari , III year currently doing Academic Research intern at UC Dublin, Ireland at ASEADOS Lab on cutting -edge AI topics.
  • Charan Mohan, Abdul Omer Farooq, Bachu Tharun Kumar and Allamsetti Praveen Martin secured 4th Position in CBIT Hackathon.
  • V Sri Datta Bharadwaj, Mangali Yagnesh IV year won 1st prize in Project Expo VJIT-2023.
  • Sattarshetty Tejaswi, Yelamaddi Keerthi Chowdary and Zaib Unnisa Nayeem III year won 2nd prize in Project Expo VJIT-2023.
  • phalguni, III year has cracked Microsoft azure certification.
    Anil, III year was given scholarship by Bertelsmann from UDACITY.
  • Anil, III year has cracked 2x MICROSOFT AZURE certifications.
    Kashinath , III year had selected as SPPs ( students partnership program) by Cognizance Under IIT ROORKEE for Telangana.
  • P Sathwik, II year participated in G20 presidency state level competitions on 10th Jan at Rajbhavan and received a cash prize and certificate from Governor of Telangana.

Sports:

  • Manikanta, Ch.Vinay Reddy and J. Sunil Kumar of III-Year and II-Year AI Students qualified to Semifinals in Cricket-Inter College State Zone Level, Sakshi Premium League.
  • Korukonda Shiva Naina, II-Year got 1st Prize in Shotput in Phonix-2022 conducted by VJIT.
  • Yelamaddi Keerthi Chowdary, II-Year got 2nd Prize in Shotput in Phonix-2022 conducted by VJIT.
  • List of Certifications Link- Students completed 800 Certifications in different AI domains.

AI Department IV Year Students did 395 Certifications in different AI domains.

AI Department III Year Students did 400 Certifications in different AI domains.

 

Professional Bodies & Clubs

Professional Bodies

  • CSI
  • ISTE
  • ACM Chapter
  • Google Development Society
  • IEEE-CS Chapter
  • IUCEE IASF-chapter

Clubs

  • Coding Club
  • Machine Learning Club
  • Data Science Club
  • Gaming Club
  • IoT Club
  • Robotics Club
  • Drone Club
  • Deep Learning Club

Industry & Academic Collaborations

Other Information

Guest Lecture on Data Science by Mr. Arindam, Data Scientist, ERRICSON on 10th January 2021 by Data Science Club.

The AI Dept itself and the H&S Dept organizes different activities for the enhancement of the knowledge of the students and to improve their Life Skills, Soft Skills and Technical Skills. The different activities are –

  • Guest Lectures
  • Coding contest
  • Science Project Exhibition
  • Software Project Exhibition
  • Poster Exhibition
  • Special Classes on Coding at evening hrs for doubt clearance
  • Online classes during off days and All India Lockdown Days
  • Online test on different subjects
  • Quiz
  • Seminar by the students
  • Value added courses
  • Certifications

Value Added Courses

  • AWS Cloud Literacy Course
  • MOOC on “C and Data Structures”
  • CISCO Networking Course
  • Machine Learning MOOC at Coursera.org
  • CS50X MOOC by Harvard University at edx.org
  • Python MOOC at Udemy.com
  • Ethical Hacking MOOC at Udemy.com
  • “C Programming” at Udemy.com
  • Cognizia A
  • Microsoft Azure

Resources

Teaching & Learning

Innovative Teaching Techniques

Teaching is an art and science. Teaching is a process of imparting knowledge and skills. It is a systematic process based on some educational objectives to communicate.

The following innovative teaching methods are being adopted:

Interactive Learning
Interactive learning is a hands-on, real-world approach to education. ‘Interactive learning actively engages the students in wrestling with the material. It reinvigorates the classroom for both students and faculty. Lectures are changed into discussions, and students and teachers become partners in the journey of knowledge acquisition.’

Interactive learning can take many different forms. Students strengthen their critical thinking and problem-solving skills using a much more holistic approach to learning. Interactive learning can take place across the curriculum with technology.

Collaborative Learning

“Collaborative learning is an umbrella term for a variety of educational approaches involving joint intellectual effort by students, or students and teachers together. Usually students are working in groups of two or more, mutually searching for understanding, solutions or meanings, or creating a product. 

Collaborative learning activities vary widely, but most center on students’ exploration or application of the course material, not simply the teacher’s presentation or explication of it”.

Why use cooperative learning?   To..

  • promote student learning and academic achievement
  • enhance student satisfaction with their learning experience
  • help students develop skills in oral communication
  • develop students skills
  • promote student self-esteem

5 Elements of cooperative learning

  1. Positive interdependence
  2. Face-to-face interaction
  3. Individual and group accountability
  4. Interpersonal and small group skills
  5. Group processing
Flipped Classroom

A flipped classroom is an instructional strategy and a type of blended learning that reverses the traditional learning environment by delivering instructional content, often online, outside of the classroom. It moves activities, including those that may have traditionally been considered homework, into the classroom. In a flipped classroom, students watch online lectures, collaborate in online discussions, or carry out research at home and engage in concepts in the classroom with the guidance of a mentor.

The flipped classroom intentionally shifts instruction to a learner-centered model in which class time explores topics in greater depth and creates meaningful learning opportunities, while educational technologies such as online videos are used to ‘deliver content’ outside of the classroom. In a flipped classroom, ‘content delivery’ may take a variety of forms.

Role Play

Role-playing is the changing of one’s behavior to assume a role, either unconsciously to fill a social role, or consciously to act out an adopted role.

  • To refer to the playing of roles generally such as in a theatre, or educational setting;
  • To refer to taking a role of an existing character or person and acting it out with a partner taking someone else’s role, often involving different genres of practice.
Think-Pair-Share

Think-Pair-Share (TPS) is a collaborative learning strategy in which students work together to solve a problem or answer a question about an assigned reading. This technique requires students to (1) think individually about a topic or answer to a question; and (2) share ideas with classmates. Discussing an answer with a partner serves to maximize participation, focus attention and engage students in comprehending the reading material.

Benefits:

  • The Think-Pair-Share strategy is a versatile and simple technique for improving students’ reading comprehension.
  • It gives students time to think about an answer and activates prior knowledge.
  • TPS enhances students’ oral communication skills as they discuss their ideas with one another. 
  • This strategy helps students become active participants in learning and can include writing as a way of organizing thoughts generated from discussions.
Case Based Learning

This method is learner-centered with intense interaction between participants as they build their knowledge and work together as a group to examine the case

The instructor’s role is to facilitate the students collaboratively analyze and address problems and resolve questions

Interactive Learning

Interactive Learning is a hands-on, real-world approach to education ‘Inetractive learning actively engages the students in wrestling with the material

It reinvigorates the classroom for both students and faculty. Lectures are changed into discussion and students and teachers become partners in the journey of knowledge acquisition

Students strengthen their critical thinking and problem-solving skills using a much more holistic approach to learning

Open Educational Resources

Open educational resources (OER) are freely accessible, openly licensed documents and media that are useful for teaching, learning, and research resources that reside in the public domain or have been released under an intellectual property license that permits their free use and re-purposing by others.

Open educational resources include full courses, course materials, modules, textbooks, streaming videos, tests, software, and any other tools, materials, or techniques used to support access to knowledge.

Like Blog, MOOC(Massive Open Online Course), Moodle etc.

Teaching & Learning methodologies

Faculty Name Subject Topic Innovative methods adopted Preparation
Dr.A.Obulesh MFCS Logic Prolog is sued to show Logic execution The online tool to execute Prolog is shown and demo is given. Student are given problem  to solve.  Interactive Online Tool is used : https://swish.swi-prolog.org/
Dr.A.Obulesh MFCS WFF : Well Formed Formula Student’s Seminar Students have been given real life problems to derive WWF
Dr.A.Obulesh AI AI Algorithms AWS Classroom Students should be good in basic AI algorithms.
Kandula Neha CDS Programming (Arrays, Stacks, Queues) Hacker Rank Students should be good at basic Algorithms and Syntax of concepts
Kandula Neha CDS Algorithms and logics Innovative Mini Projects Students should explain with real life examples
K.Kalyani CL Cyber Crimes Students Seminar Students should explain with real life example cases
K.Kalyani CL IT Act 2000 Innovative quiz Well preparation about IT act 2000
Dr.A.Obulesh Robotics Robotics lab Case Studies Students should explain with real life examples
Ch.Swetha Concepts of DataStructures through C++ Trees and Graphs Algorithms Mini Projects Students should explain with real life examples
D.Vaman Ravi Prasad MFCS Pigeon Hole Principle Poster Presentation Students should explain Poster with the given topic

Curriculum

Research & Development

Overview

The Dept of Artificial Intelligence is presently working in the following fields of research.

  • Data Analytics
  • Data Engineering
  • Data Science
  • Machine Learning
  • Artificial Intelligence
  • Coding in AI, M, DS and DL – Python, R, Octave etc.

Publications

Placements

Placements Information

2019-2023 Batch

Name of the Student Roll Number Discipline Placed in On/Off Campus
Yashvi Kommidi 19911A3559 AI ADP On Campus
Priya Darshini Allapuram 19911A3502 AI VIRTUSA On Campus
Bolli Jessica 19911A3507 AI VIRTUSA On Campus
Srija Chennoju 19911A3509 AI VIRTUSA On Campus
Gundu Hemanthsai 19911A3518 AI VIRTUSA On Campus
Komuravelli Suchetha 19911A3528 AI VIRTUSA On Campus
Yagnesh Mangali 19911A3531 AI VIRTUSA On Campus
Mekala Bala Ashritha Reddy 19911A3533 AI VIRTUSA On Campus
Pasupunuri Rakesh Rohan 19911A3540 AI VIRTUSA On Campus
Ramavath Kamala Sairam 19911A3542 AI VIRTUSA On Campus
Prabhath Kumar Rayabarapu 19911A3543 AI VIRTUSA On Campus
Thopireddy Sindhuja 19911A3550 AI VIRTUSA On Campus
Prabhath Kumar Rayabarapu 19911A3543 AI VITWIT On Campus
Komuravelli Suchetha 19911A3528 AI VITWIT On Campus
Gundu Hemanthsai 19911A3518 AI VITWIT On Campus
Mekala Bala Ashritha Reddy 19911A3533 AI VITWIT On Campus
Namburi Aditya Vardhan 19911A3537 AI Technovert On Campus
Ram Charan 19911A3505 AI Technovert On Campus
Mekala Bala Ashritha Reddy 19911A3533 AI ADP On Campus
Surya Kiran Siricilla 19911A3548 AI ADP On Campus
Prabhath Kumar Rayabarapu 19911A3543 AI Techigai On Campus
Konduri Raghav 19911A3529 AI Hexaware Technologies On Campus
Shri Akshita G 19911A3547 AI Hexaware Technologies On Campus
Patha Devi Priyanka 19911A3541 AI Hexaware Technologies On Campus
Janmanchi Snigdha 19911A3521 AI Hexaware Technologies On Campus
Komuravelli Suchetha 19911A3528 AI IBM On Campus
Sindhuja 19911A3550 AI Eidiko On Campus
Allapuram Priya Dharshini 19911A3502 AI Eidiko On Campus
Chinna Chinnannagari Balakrishna Reddy 19911A3511 AI Eidiko On Campus
M. B. Ashritha Reddy 19911A3533 AI Eidiko On Campus
Md Shoyab Ali 19911A3532 AI Eidiko On Campus
Y V D Krishna Meghana 19911A3560 AI Eidiko On Campus
M Yagnesh 19911A3531 AI Eidiko On Campus
V Sri Datta Bharadwaj 19911A3552 AI Innova Solutions On Campus
Konduri Raghav 19911A3529 AI Cognizant Gen-C On Campus
Bobbili Tarun Kumar Reddy 19911A3504 AI Cognizant Gen-C On Campus
Katam Reddy Samhita Reddy 19911A3525 AI Cognizant Gen-C On Campus
Shaik Sajid 19911A3546 AI Cognizant Gen-C On Campus
Vasireddy Yashwanth Reddy 19911A3555 AI Cognizant Gen-C On Campus
Chinna Chinnannagari Balakrishna Reddy 19911A3511 AI Cognizant Gen-C On Campus
Bondalapati Keerti 19911A3508 AI Cognizant Gen-C On Campus
Ganduri Shravika 19911A3514 AI Cognizant Gen-C-Elevate On Campus
Shravika 19911A3514 AI TCS Ninja On Campus
Devagiri Rohan 19911A3512 AI TCS Ninja On Campus
Sayyad Riyaz 19911A3545 AI TCS Ninja On Campus
Warangal Sravya Sathwika 19911A3558 AI Focus Edumatics On Campus
Jangampally Dhana Shekhar 19911A3520 AI Focus Edumatics On Campus
Venkata Sai Chaitanya Kolliboyina 19911A3527 AI Focus Edumatics On Campus
Boini Arun Kumar 19911A3506 AI Sutherland On Campus
Yerramsetti Venkata Davali Krishna Meghana 19911A3560 AI CDK Global On Campus
Kousika Venkata Sayee Santhosha Supreeth 19911A3530 AI CDK Global On Campus
Warangal Sravya Sathwika 19911A3558 AI Chegg Inc On Campus
Arun Kumar Boini 19911A3506 AI Chegg Inc On Campus
Naahida Anjum Moghal 19911A3534 AI Chegg Inc On Campus
Devagiri Rohan 19911A3512 AI Brane Enterprises On Campus
Pasupunuri Rakesh Rohan 19911A3540 AI Brane Enterprises On Campus
Sayyad Riyaz 19911A3545 AI Brane Enterprises On Campus
Gella Ranjith Kumar Yadav 19911A3516 AI Intellipat On Campus

Roll of Honors

Toppers – Batch Wise

Toppers – Semester Wise

Contact Us

Dr. A. Obulesh

Professor, HOD
[email protected]

Sriram
Sriram

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