Guru Nanak Institute of Technology (GNIT) | CSE (Artificial Intelligence and Machine Learning)

Admission Helpline: 8008295550 / 51 Admission Enquiry 2025-26

CSE (Artificial Intelligence and Machine Learning)

The Department of CSE (Artificial Intelligence and Machine Learning) program with an intake of 60. Due to the high demand in the industry, the department has increased the intake of B.Tech. CSE (Artificial Intelligence and Machine Learning) from 60 to 120 in the year 2022 and from 120 to 180 in the year 2023.

The department has highly qualified faculty members with minimum M. Tech qualification with Computer Science and Engineering, Computer Technology and Machine Learning, The department has cutting-edge laboratories with the most up-to-date configuration systems, which aids in the development of students' programming skills. The department is committed to conducts workshops, training programs, and awareness campaigns to educate students and faculty about cyber security best practices.

The Department provides high quality technical education that is based on research to help students to develop innovative skills, and to enhancing academic activities via ongoing development of the teaching and learning process. Students are nurtured with a variety of learning activities not only classroom teaching but also presentations, video lectures, experiential learning, Swayam NPTEL and other MOOC online courses by faculty in the institute and across the globe. Students are encouraged to take up industry-oriented projects, participate in hackathons and coding competitions at national and international level.

Highlights of the Department

Highly qualified and experienced faculty

Conducive environment for Academic Excellence

Effective Teaching & Learning Process

State of the art computing facilities for R&D and Innovation

Center of Excellence

Industry training and campus placements

Add-on Courses

To become a global center of excellence in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning, fostering innovation, research, and ethical applications to address complex real-world challenges and drive societal transformation.

To provide students with a robust foundation in computer science and specialized knowledge in AI and ML through innovative teaching methodologies and state-of-the-art curriculum.

To encourage research and development in AI and ML by fostering collaboration among students, faculty, and industry for pioneering solutions to contemporary and futuristic challenges.

To build strong industry partnerships to provide students with hands-on experience, internships, and opportunities to work on real-world AI and ML applications.

To instill a strong sense of ethics, social responsibility, and the importance of sustainability in the development and deployment of AI and ML technologies.

PEO1: Graduates will excel in core areas of computer science with a deep understanding of Artificial Intelligence and Machine Learning, enabling them to analyze, design, and implement AI-driven solutions.

PEO2: Graduates will pursue advanced education, engage in cutting-edge research, and contribute to technological advancements in AI and ML.

PEO3: Graduates will exhibit strong ethical values, communication skills, and teamwork capabilities while addressing societal challenges using AI and ML.

PSO1: Graduates will be able to design, develop, and deploy AI and ML-based systems and applications to solve real-world problems, leveraging advanced algorithms, frameworks, and technologies.

PSO2: Graduates will demonstrate the ability to collect, process, and analyze large datasets using data-driven approaches to build predictive and prescriptive models.

PSO3: Graduates will be equipped to pursue advanced studies and contribute to cutting-edge research in AI and ML, including areas like deep learning, natural language processing, and computer vision.

PSO4: Inculcate effective communication and ethics for lifelong learning with social awareness.

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: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the 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 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 raimlive 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. Lifelong 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.

S. No	Role	NAME AND DESIGNATION
01	Chairman	Dr. Mahesh Lokhande Associate Professor & HOD Department of CSE (Artificial Intelligence & Machine Learning)
02	JNTUH Nominee	Dr. K. Chandra Sekharaiah, Professor, Department of CSE, JNTUH University College of Engineering, Manthani
03	Academic Council Nominee	Dr. Pradeep Kumar, Professor, Department of CSE, Hyderabad Central University
04	Academic Council Nominee	Dr. Salman Abdul Moiz Professor, Department of CSE, Maulana Abdul Kalam University
05	Industry Representative	Mr. Meka Venkata Chalapathy Senior Director & Head of Talent Management, Virtusa, India
06	Alumni	Mrs. G. Rashmi, Assistant Professor, Department of CSE
07	Members	Mr. Manoj G, Assistant Professor, Department of CSE(Artificial Intelligence & Machine Learning) Mr. P. Veeranna, Assistant Professor, Department of CSE(Artificial Intelligence & Machine Learning)

S. No	Name of the Member	Designation	Role
01	Dr. Mahesh Lokhande	Associate Professor & HOD	Chairman
02	Mr. Manoj G	Assistant Professor	Program Chair
03	Mr. P. Veerannai	Assistant Professor	Coordinator
04	Mrs. S. Arulmozhi	Assistant Professor	Module Coordinator
05	Mrs. G. Swapna	Assistant Professor	Module Coordinator
06	Mrs. Jarbais Goldi Chandrapal	Assistant Professor	Course Coordinator
07	Mr. N. Jagender	Assistant Professor	Course Coordinator
08	Mr. N. Rajesh	Assistant Professor	Course Coordinator

B. Tech in CSE (AIML) - 180

Program Structure
Programme	B.Tech
Duration	4 years
Eligibility Criteria	10+2 Science stream (Physics ,Chemistry & Mathematics)
Selection Procedure	TGEAPCET

It is with great pride and enthusiasm that I welcome you to the Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning). Our department is at the forefront of shaping the future through innovation, knowledge sharing, and impactful research in the dynamic domains of Artificial Intelligence and Machine Learning.

The rapid evolution of technology has placed Artificial Intelligence and Machine Learning at the heart of today’s digital revolution. Our mission is to equip our students with the skills and knowledge naimlssary to excel in this transformative field. With a latest curriculum designed, we are committed to fostering a culture of academic excellence, critical thinking, and creativity.

Our faculty comprises accomplished educators and researchers who are dedicated to providing a holistic learning experience. We also encourage collaboration with industry leaders and research institutions to ensure that our students are exposed to real-world challenges and cutting-edge solutions.

As we continue to grow, we strive to create an environment that nurtures innovation, embraces diversity, and upholds the highest standards of ethics and professionalism. Together, we will push the boundaries of Artificial Intelligence and Machine Learning, contributing to the betterment of society and shaping the future of technology.

Let us embark on this exciting journey together and make remarkable strides in the field of Artificial Intelligence and Machine Learning.

Warm regards,

Dr. MAHESH LOKHANDE
B. E., M. Tech, Ph. D. (CST), PGDAC (C-DAC), LMISTE, MCSTA, MIAENG
Associate Professor and Head
Department of CSE (Artificial Intelligence & Machine Learning)
Guru Nanak Institute of Technology (Autonomous), Hyderabad

Dr. MAHESH LOKHANDE
Associate Professor and Head

“A dedicated and accomplished academician with 22+ years of experience in teaching, industry, research and administration. Expertise in Real-Time Systems, High Performance Computing, Artificial Intelligence and Machine Learning and Image processing with a strong commitment to academic excellence, student development, and research innovation. Proven leadership in managing departmental operations and curriculum development.”

Dr. Mahesh Lokhande is currently working as Head and Associate Professor in the department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) and Institute Level R&D Coordinator at Guru Nanak Institute of Technology, Hyderabad, Telangana, India. He raimlived B. E. degree from Sant Gadge Baba Amravati University, a State Government University, Amravati, Maharashtra, India and M. Tech (IT) degree in from Rajeev Gandhi Technical University, a State Government University, Bhopal Madhya Pradesh, India. He completed his Ph.D. in Computer Science and Technology from Rashtrasant Tukdoji Maharaj Nagpur University, a State Government University, Nagpur, Maharashtra, India. Moreover, he completed PGDAC (C-DAC) from Pune, Maharashtra, Internship programme on Artificial Intelligence Engineering from IETE-DSIR and Machine Learning from APSSDC. He is having 22+ years of Experience in Teaching, Industry and Research in various Organizations. His area of interest is Real-Time Operating Systems, High Performance Computing, Artificial Intelligence and Machine Learning, and Image processing.

During his tenure he guided more than 200 B.E./B. Tech. and M. Tech students. Currently 1 Research Scholar is pursuing Ph.D. under him. He taught various subjects to undergraduate and post graduate students in the field of Electronics and Communication, Information Technology and Computer Science and Engineering. He worked as Head of the Department for more than 12 years. Moreover, he worked as Training and Placement Officer and Chief Hostel Warden and also for various committees like NAAC, NBA, NIRF, IDEA Lab, etc. and different Institute level committees like R & D Committee, Faculty Grievance, etc.

Dr. Mahesh Lokhande published more than 20 research papers in international and national journals and conferences like Web of Science, ESCI, SCOPUS, ACM, IEEE and Elsevier. He has delivered many guest lectures. He has 6 patents, 1 IPR and authored 2 books. Dr. Mahesh Lokhande is an Innovation Ambassador for IIC and delivered various seminars and webinars. He has participated in an abundance of conferences, FDPs, seminars and workshops organized by various reputed organizations in India. He is a Life Member of ISTE, IAENG and CSTA.

S. No.	Name of the Faculty	Qualification	Designation
1	Dr. Mahesh Lokhande	Ph.D.	Associate Professor & HOD
1	Mr. G. Manoj	M.E (Ph.D)	Assistant Professor
2	Mr. N. Jagender	M.Tech	Assistant Professor
3	Mrs. G. Swapna	M.Tech	Assistant Professor
4	Mr. N. Rajesh	M.Tech	Assistant Professor
5	Mrs. S. Arulmozhi	M.Tech	Assistant Professor
6	Mrs. Jarbais Goldi Chandrapal	M.Tech (Ph.D)	Assistant Professor
7	Mrs. Margaret B Flora	M.E (Ph.D)	Assistant Professor
8	Ms. Uzma Yaseen Bhat	M.Tech	Assistant Professor
9	Mr. M. Prabu Pandiyan	M.E	Assistant Professor
10	Mr. Lalendra Kumar Khandey	M.Tech	Assistant Professor
11	Mr. P. Veeranna	M.Tech	Assistant Professor
12	Mr. S. Naresh	M.Tech	Assistant Professor
13	Mr. Syed Muzamil Hussain	M.Tech	Assistant Professor
14	Mrs. B. Aravinda	M.Tech	Assistant Professor

Mr. Manoj G working as an Assistant Professor in the Department of Computer Science and Engineering (AI & ML) at Guru Nanak Institute of Technology, Hyderabad. He pursuing his Ph.D. in Computer Science Engineering from Saveetha University, Chennai, He completed M.E in Computer Science and Engineering from Anna University, in 2014, B.E Computer Science and Engineering from Anna University, in 2008, He has 14 years of teaching experience. He has published 2 international Scopus indexed journals, 6 Patents and 1 book. His research interest includes Machine Learning, Artificial Intelligence, Data Science, Software Engineering and Deep Learning.

Mr. Nunavath Jagender is currently working as Assistant Professor in the Department of CSE (AI&ML) at Guru Nanak Institute of Technology (Autonomous) Hyderabad. He did his B.Tech from St. Martins Engineering College (JNTUH) and completed his M.Tech in Computer Science (CNIS) from MGIT, First Class with distinction from JNTU, Hyderabad, Telangana. He has 10 years of professional teaching experience in various Engineering colleges in Telangana. In his total experience he worked at MGIT, SIET, SICET colleges and He worked in Google for five years. He has rich experience in Academics as well as in Industry. He has published 3 patent & 2 journal and also attended various conferences & workshops. He also organized seminars and workshops in his experience.

Mrs. G. Swapna is a dedicated Assistant Professor with an M.Tech (Computer Science & Data Processing) from IIT Kharagpur (2011) and M.Sc. from Reddy Women’s College, Hyderabad (2009). She brings over six years of teaching experience and specializes in programming and artificial intelligence, with a strong focus on developing practical coding skills in her students. Her passion for programming subjects makes her a highly engaged and resourceful faculty member.

Mr. N Rajesh is working as Assistant Professor at Guru Nanak Institute of Technology, Hyderabad. He completed M. Tech CSE with Distinction from JNTUH, Kukatpally in 2014. He has 10+ years of teaching experience. He has published research articles in 07 international journals and two Patents published, He attended 25 FDPs, 04 National level workshops. He authored text Books "Data Mining and Data Warehousing" and "PHP and Web Security". He filed 2 Indian Patents. He completed 8 ATAL Certificates on various emerging technologies topics. His research interests include Networks, IoT, Artificial Intelligence and interdisciplinary areas. He was Ratified 3times from JNTU Hyderabad as Assistant Professor. .

Mrs. S. Arulmozhi is presently working as Assistant Professor in the Department of CSE AIML at Guru Nanak Institute of Technology (Autonomous) Hyderabad. She did her MCA, First Class with distinction from Sourashtra College (Madurai Kamaraj University) and completed her M.Tech. in Information Technology, First Class with distinction from Kalasalingam University, Krishnankoil, Tamilnadu. She has more than 6 years of professional teaching experience in Engineering colleges in Tamilnadu and more than 5 years of experience as Full Stack Developer in SoftwareIndustry. She worked at Hexalytics, in Texas as WFH for one year. She worked as Team Leader for 3 years at Webrotech, Madurai, Tamilnadu.

Ms. Goldi Chandrapal Jarba is currently working as Assistant Professor in the Department of CSE-AIML at Guru Nanak Institute of Technology (Autonomous),Hyderabad. She did her B.E. from J.D.I.E.T. Yavatmal, Maharashtra (Amravati University) and completed her M.E. in Computer Science and Engineering (ESC), First Class with distinction from GHRCE (Autonomous), Nagpur, Maharashtra. She is pursuing her PhD in Artificial Intelligence and Machine Learning domain from VIT-Bhopal University. She has 13 years of professional teaching experience in various Engineering colleges of Maharashtra and M.P. She has rich experience in Academics. She has published many SCIE research articles in the international journals and patents in the area of AIML.

Mrs. Margaret Flora B is presently working as Assistant Professor in the Department of CSE-Artificial Intelligence and Machine Learning at Guru Nanak Institute of Technology, Hyderabad. She is pursuing her Ph.D., in Annamalai University in Information Technology. She did her B.Tech. IT from DMI College of Engineering and Technology (Anna University) and completed her M.Tech. in Information Technology, First Class with distinction from Sathyabama University, Chennai. She has 6 years of Professional teaching experience in Engineering college in Tanzania. She has rich experience in Academics and has published a research paper in International Journal of Science and Research in UGC journals and published a research paper in International Journal of Computer Networks and Applications in Scopus and attended various conferences, FDP’s and workshops..

Ms. Uzma Yaseen Bhat is working as Assistant Professor at Guru Nanak Institute of Technology, Hyderabad. She completed her B.Tech in CSE from DCRUST Delhi NCR. She completed M.Tech in CSE with Distinction from Galgotias University, Greater Noida, UP. She has 1 year of teaching experience. She has published one research article in one IEEE International conference and one in article indexed in Scopus. She has attended 3 FDPs. She has organized workshops during her academic period. Her research interests include IoT, Artificial Intelligence and interdisciplinary areas.

Mr. Lalendra Kumar Khanday is working as Assistant Professor at Guru Nanak Institute of Technology, Hyderabad. He completed M. Tech Computer Technology & Application from RGTU-BHOPAL MP in 2019. He has 6+ years of teaching experience. He has published research articles in 05 international journals published; He attended 20 FDPs, 05 National level workshops. He completed 8 ATAL Certificates on various emerging technologies topics. His research interests include Machine Learning, Block chain Technology, Cyber Security, Networks, IoT, Artificial Intelligence and interdisciplinary areas. He was Ratified 1- times from JNTU Hyderabad as Assistant Professor.

Mr. M. Prabupandiyan is working as Assistant Professor at Guru Nanak Institute of Technology, Hyderabad. He completed B.Tech (IT) in ANNA university (2006), M.E (Computer and comm) from ANNA university, Trichy in 2010. He has 15+ years of teaching experience. He attended 10 FDPs, 02 National level workshops. His research interests include Networks, IoT, Artificial Intelligence and interdisciplinary areas. He interested to release the journals in Cryptography and Network Security Algorithms

Mr.P.Veeranna is working as Assistant Professor in the Department of Computer Science and machine learning at Guru Nanak Institute of Technology, Hyderabad. He has completed his B.TECH, IT from Jaya Prakash Narayan College of Engineering,Telanagana in 2009, M.TECH, CSE from Jaya Prakash Narayan College of Engineering,Telanagana, He has 12 years of teaching experience as Assistant Professor. He has published International Journals papers, International and National conference publications and attended various ATAL FDP programs, NPTEL Courses Research area interested in Computer networks and cyber security.

Sabavat Naresh is working as Assistant Professor at Guru Nanak Institute of Technology, Hyderabad. He completed his MTECH from JNTUH affiliated college, in 2015, with Distinction in CSE He has 8 years of teaching experience. He has published 5 international journals and published 4 patents. His research interest includes Networks, LOT, and Artificial Intelligence.

Mr. Syed Muzamil Hussain is presently working as Assistant Professor in the Department of Emerging Technologies at Guru Nanak Institute of Technology (Autonomous) Hyderabad. He did his B.Tech from JNTU – Hyderabad and completed his M.Tech. in Computer Science, First Class with distinction from JNTU, Hyderabad, Telangana.

Mrs. Aravinda. D is currently working as Assistant Professor in the Department of CSE Emerging Technologies at Guru Nanak Institute of Technology (Autonomous) Hyderabad. She did her B.Tech. from BITSW(JNTUH ) and completed her M.Tech in Computer Science, First Class with distinction from JNTU, Hyderabad, Telangana. She has 8 years of professional teaching experience in various Engineering colleges in Telangana. She has published 3 research papers in UGC journals and attended various conferences and workshops.

Knowledge Representation & Reasoning Lab

Artificial intelligence (AI) and computer science that focuses on how knowledge about the world can be represented in a form that machines can process and reason about the goal is to create systems that can reason, make decisions, and solve problems based on the knowledge they have. Typically, this involves concepts like logic, ontologies, semantic web technologies, and machine learning.

Object Oriented Programming through Java Lab

This lab is dedicated for students to practice and develop the programs with reusability, students can develop programs for file handling, exception handling in programming, develop applications for a range of problems using object-oriented programming techniques. This lab reinforces the understanding of basic object-oriented programming concepts (objects, classes and subclasses, methods) and their expressions in Java. Students get trained to analyze and design solutions for real world problems based on object-oriented principles and write simple Graphical User Interface (GUI) interfaces

Operating Systems Lab

This lab has provided a platform to the students to study different operating systems such as windows 98/ME/XP, Unix & Linux. The objective of this lab is to provide practical exposure to students to simulate and implement operating system concepts such as scheduling, deadlock management, file management and memory management. Students also get trained on the implementation of various operating system concepts such as scheduling, deadlock management, file management and memory management. The latest platforms/compilers are provided to the students to run the programs.

Database Management Systems Lab

This lab is dedicated for students to work on practical experiments, projects and research work, related to courses such as Database Management Systems, Big Data Analysis. etc. The requirement of modern days is to have an automated system that manages, modifies and updates data accurately. This is achieved by a Database Management System in robust, correct and non redundant way. Through DBMS laboratory, students will get knowledge about the database environment, a way to manage data and access the data quickly and efficiently.

Machine Learning Lab

This lab is dedicated for students to get hands on experience in Understand the concepts of computational intelligence like machine learning , ability to get the skill to apply machine learning techniques to address real-time problems in different areas. Understanding the Neural Networks and their usage in machine learning applications.

Computer Networks Lab

The lab is dedicated to provide a practical exposure to learn the concepts of computer networking, networking layers and acquire practical notions of various communication protocols. Students get trained to analyze the traffic flow and the contents of protocol frames, implement data link layer farming methods, and Encoding and Decoding techniques and routing. Students can diagnose various protocol message details like TCP/UDP using Wireshark. NetSim is used to simulate the features of IP routing, transport layer flow and congestion control, data link layer protocol modelling over CSMA/CD.

Artificial Intelligence Lab

Artificial Intelligence (AI) labs in engineering are dedicated to advancing AI technologies and their applications across various engineering disciplines. These labs focus on developing intelligent systems, machine learning algorithms, and AI-driven solutions to address complex engineering challenges. AI labs create intelligent systems that can learn from data, solve problems, and perform tasks that usually require human intelligence. AI lab experts use machine learning to develop systems that can learn from data and take action.

Software Engineering Lab

Software engineering is the discipline of designing, developing, testing, and maintaining software systems. It encompasses a wide range of practices and principles aimed at producing reliable, efficient, and scalable software solutions. Ensuring the software is bug-free and meets all requirements. Testing includes unit testing, integration testing, system testing, and user acceptance testing (UAT).

Skill Development Course Lab

A "skill development lab" is a dedicated space where individuals can practice and hone specific skills through hands-on training, utilizing specialized equipment and guided instruction, often focused on practical application within a particular field, allowing them to develop competencies in a controlled environment before applying them in real-world scenarios. Skill development courses are essential for engineering students to enhance their technical expertise and soft skills, thereby improving employability and career prospects

Data Structures Lab

This lab is dedicated for students to practice data structures like stacks, queues, trees, graphs and linked lists, implement searching and sorting algorithms and acquire knowledge about applications of data structures. The goal is to develop proficiency in designing and implementing algorithms that leverage different data structures to solve real-world problems. Students are made familiar with C, C++, JAVA programming and its applications. The latest platforms/compilers are provided to the students to run the programs.

S. No	Name	Branch	Year	CGPA(%)
01	A. Harshitha	AIML	IV	9.06
02	S. Rahul	AIML	IV	8.85
03	Khyati	AIML	IV	8.9
04	NS Murali Karthikeya	AIML	IV	8.2
05	S. Teja	AIML	IV	8.0

S. No.	Name of the Student	Achievement
01	A. Kaushal 20831A6602	Outstanding performer of Internshala's Campus Ambassador Program - Internshala Student Partner (ISP) 27 edition during the period of January 2022 to February 2022.
02	S. Vasanth Rao 20831A6646	Stood 2nd runner in Essay Competition in BRUMOUS FIESTA-2022.
03	M. Aishwarya Laxmi 20831A6631	Awarded 3rd prize in college-level quiz competition conducted by Cyber Security Department in association with “Cyber Hawks Club” in February 2025 at GNIT.
04	M. Sarupya 20831A6636	Certificate of Completion on SQL Server through EDUCBA Platform
05	K.Ashmitha 20831A6229	Appreciation Certificate as 2nd topper of the class in academics.
06	R Harsha 20831A6247	Runner of Quizzotica-2023 Competition held in GNIT
07	R.Abhishek 20831A6245	Awarded as most talented coordinator in streetcause Hyderabad E-force division.
08	Rodda Vaishnavi 22831A66A1	she has secured first prize in Spell Bee competition which was conducted by Converse Club in "Guru Nanak Institute of Technology" .
09	S. Rahul 20831A6652	Certificate of Internship on Machine Learning & Data Science with Python from PHN Technology Pvt. Ltd.
10	Zafeer U. A. 20831A6660	Certificate of Internship on Artificial Intelligence from Campalin
11	N. Vaishali 20831A6659	Winner of Throw Ball organized by GNIT.
12	P. Sri Sai 20831A6639	Winner of Quizzotica-2023 organized by GNIT
13	M. Sarupya 20831A6636	Certificate of Participation in Technical Presentation Competition from Feliks Club and GDC of GNI
14	R Harsha 20831A6247	Runner of Quizzotica-2023 Competition held in GNIT
15	Vishwa Vidhatha 21835A6601	Certificate of Completion on Problem Solving Basics from HackerRank

LITT Club

With full enthusiasm IETE Student Forum(ISF) has been inaugurated at ECE Department, Guru Nanak Institute of Technology on 17th Daimlmber at 12:00 p.m.

Let's Inspire and Thrive together.

Vision: To create a supportive community where everyone inspires each other to thrive and reach their fullest potential together.

The Department of CSE (AI&ML) established a Club named as “LITT CLUB”( Let's Inspire and Thrive together.)

Faculty Coordinators

S. No	Name	Designation	Role
01	Dr. Mahesh Lokhande	HOD-AIML	Convenor
02	Mrs. S. ARULMOZHI	Assistant Professor	Coordinator

Club Office Bears

Members have been appointed to ensure the proper functioning of the club. These board members will be responsible for addressing issues related to the club, as they will be granted the authority to make any minor or major decisions. The following are their names and positions:

Name	ROLL NO	COLLEGE	DESIGNATION
ANIL KUMAR. P	22831A6693	GNIT	FOUNDER
VENKATA SAI RAM. V	22831A66C2	GNIT	PRESIDENT
SRINIDHI. V	22831A66B8	GNIT	VICE PRESIDENT
SATHWIK. V	22831A66C1	GNIT	TREASURER
AKSHAYA. P	22831A66C5	GNIT	FUND RAISING COORDINATOR
VISHNU NARAYANA. K	22831A6668	GNIT	CLUB COORDINATOR
TEJA. M	22831A6678	GNIT	MEMBERSHIP COORDINATOR
ARUN KUMAR. M	23835A6607	GNIT	TECHNICAL HEAD
SATHWIKA. S	22831A66B0	GNIT	NON-TECHNICAL HEAD
MOINUDDIN. MD	22831A6679	GNIT	DIGITAL MEDIA HEAD
MEGHANA. M	22831A6677	GNIT	EVENT COORDINATOR
NANDINI. T	22831A66B2	GNIT	COMMUNICATION HEAD
VARSHITA. K	22831A6667	GNIT	COMMUNITY OUTREACH COORDINATOR
VIKRAM SIMHA REDDY. L	22831A6670	GNIT	RESEARCH & INNOVATION HEAD
BHAVESH. P	22831A6699	GNIT	TRAINING AND DEVELOPMENT HEAD
DATTU. S	22831A66A4	GNIT	ALUMINI RELATIONS HEAD
SWATHI. P	22831A66A0	GNIT	WELLNESS COORDINATOR