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About The Department 
Intake of the Department = 60
Year of Start: 2021

The CSE (AI & ML) program is designed to equip students with cutting-edge technical skills tailored for the 21st cent

ury, aligning with the growing global AI market. As per the Precedence Research Report 2023, the U.S. artificial intelligence (AI) market size accounted for USD 103.7 billion in 2022 and is estimated to reach around USD 594 billion by 2032, growing at a CAGR of 19.1% from 2023 to 2032.

AI and ML job opportunities are expected to grow significantly in the next 5 years. With the increasing demand for advanced technologies in various industries, companies are investing heavily in AI and ML. This includes fields such as healthcare, finance, retail, and transportation. Some potential job opportunities to explore in this field may include data scientist, machine learning engineer, AI research scientist, and natural language processing specialist.

Vision:

Provide quality education and training to equip students with the skills and knowledge required to excel in Computer Science, AI and ML related careers

Mission:

• To Encourage faculty and students to engage in continuous learning to keep pace with the rapidly evolving landscape of Computer Science, AI and ML.
• To Promote the development and use of Computer Science, AI and ML technologies that adhere to ethical principles, ensuring fairness, transparency, accountability, and privacy in AI systems.
• To Develop Computer Science, AI and ML technologies and tools that can be applied to solve real-world problems in various domains, including healthcare, finance, and transportation
• To foster collaboration across various disciplines, breaking down silos to create a holistic approach to solving complex problems with Computer Science, AI and ML.

Program Educational Objectives (PEO)

• To have successful careers in Computer Science, AI and ML-related fields by becoming an expert in the various domain
• To exhibit a deep understanding of ethical considerations in Computer Science, AI and ML, ensuring that they develop and apply these technologies in a responsible and socially conscious manner.
• To engage in lifelong learning and professional development, staying up-to-date with the latest advancements in Computer Science, AI and ML and continuously enhancing their skills.
• To actively contribute to society by leveraging Computer Science, AI and ML for the benefit of humanity, whether through improving healthcare outcomes, addressing environmental challenges, or enhancing accessibility.

Core Subjects of AI & ML:

• Mathematics for Computer Science
• Python Programming for Data Science
• Data Analytics with R
• Data Analytics with Excel
• Ethics and Public Policy for AI
• Project Management with Git
• Artificial Intelligence
• Optimization for Machine eLearning
• Scala
• MongoDB
• MERN
• Software Engineering & Project Management
• Theory of Computation
• Data Visualization Lab
• Computer Vision
• Information Retrieval
• Nonlinear Control Techniques
• Image and Video Processing
• Machine Learning -I
• Human-Centered AI
• Cloud Computing
• Blockchain Technology
• Time Series Analysis
• Introduction to AI
• Explainable AI
• PyTorch
• Generative AI
• Natural Language Processing
• Machine Learning -II
• AI of Things
• High Performance Computing
• Data Engineering & MLOps
• Big Data Analytics
• Introduction to Machine Learning

Infrastructure

Laboratories :

Lab-1:  D-202

Lab-2: D-203

 Lab-3: D-204

Class Rooms

HOD’s Room, Faculty Room & Department Office

Safety Precautionary

Staff Details

Teaching Staffs

Dr. Manjuprasad B, B.E,Ph.D, Professor and Head	Dr. Arpitha Shankar S.I B.E, M.Tech, Ph.D Associate Professor	Jeevitha H M, B.E, M.Tech, Assistant Professor	Geetha A L, B.E, M.Tech, Assistant Professor

Bindushree V, B.E, M.Tech, Assistant Professor	Sumana, B.E, M.Tech, Assistant Professor

Non Teaching Staffs

S D MohanKumar, Dip. in CSE Instructor	Supritha Ajareddy, B.Sc, B.Ed Assistant Instructor	Rakshitha H S, Dip. In CSE, Assistant Instructor

Samsung Innovation Campus

Samsung R&D Institute India-Bangalore (SRI-B), the largest R&D center outside South Korea, and a key innovation hub in the Samsung group, continues to drive innovation through cutting-edge advancements in AI, IoT, Big Data, Multimedia, and Modem technologies.

As part of its commitment to nurturing future tech talent, Samsung Innovation Campus (SIC) aims to bridge the digital skills gap by providing hands-on training in emerging technologies. Further strengthening this vision, SRI-B has collaborated with GSSS Institute of Engineering & Technology for Women (GSSSIETW) to set up an SIC Lab on campus.

The Samsung Innovation Campus (SIC) is currently operational in 13 countries worldwide.  GSSSIETW is proud for this excellence achievement by becoming one of 8 SIC across India. GSSS Institute of Engineering and Technology for Women, Mysuru is proud to announce the inauguration of the Samsung Innovation Campus on 12.02.2025.

Samsung Innovation Campus Lab Inauguration
Chief Guests : Sri. Mohan Rao Goli
Guest of Honour: Sri. Srimanu Prasad, Dr. Lokesh R Boregowda, Mrs. Roopa Sheshadri

This program has established a state-of-the-art computing facility at our institution in collaboration with Samsung Innovation Campus. The facility is equipped with:

• 40 high-performance computers
• 03 GPU servers
• 02 Smart TVs

These resources are intended to provide students with rich hands-on experience in IoT, coding, and advanced computing, aligning with industry standards and real-time applications.
Currently, GSSSIETW has been sanctioned for 03 programs—Artificial Intelligence, Coding & Practice and IoT—under the Samsung Innovation Campus initiative. The training for these courses will be conducted by both internal faculty members and expert trainers from Samsung, ensuring a blend of academic knowledge and industry expertise. Additionally, students benefit from networking opportunities, real-world exposure, and better employment prospects, including potential internships and placements with leading tech companies.

Training Status:

Student Club

Google Cloud Club

Domain Specific Student Club

The Google Cloud Club (GCC) is a student-driven club from the Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) that is supported by Google Cloud. It aims to build awareness and expertise in cloud technologies among students by providing a platform to explore the Google Cloud Platform (GCP) through hands-on labs, quests, and real-world projects. The club fosters a collaborative learning environment where students can develop in-demand skills in areas such as cloud computing, application development, DevOps, big data, and machine learning. GCC members actively participate in technical sessions, earn digital badges and credentials, and gain exposure to industry-relevant tools and practices.

Google Cloud Club Learning Platform:

Executive Members:

1. Divya S, 7th Sem, CSE (AI&ML),
2. Rachana, Raina M, 7th Sem, CSE (AI&ML)
3. Sandhya Gangadhara Bhat, 7th Sem, CSE (AI&ML)
4. Chandana S, 5th Sem, CSE (AI&ML)
5. Swasti M Petkar, 5th Sem, CSE (AI&ML)
6. Bhoomika MR, Alumni, 2025 Graduate Batch
7. Fiza N, Alumni, 2025 Graduate Batch
8. Sushmitha G, Alumni, 2025 Graduate Batch
9. Poorvika M, Alumni, 2025 Graduate Batch

Achievers Stats

• Swags from Google via Arcade: 21
• Total Skill Badges Earned: 1,594
• Students Who Earned Skill Badges: 76
• Total Courses Completed: 978
• GDG Student Members: 676
• Participants in Study Jam Sessions: 61

Google Cloud Club 2024-25 Report

Skill Lab

SKILL DEVELOPMENT ACTIVITIES

OUTCOME OF SKILL ENHANCEMENT SESSIONS

	The Department of CSE(Artificial Intelligence & Machine Learning) at GSSS Institute of Engineering and Technology for Women (GSSSIETW) successfully hosted Hackcelerate, a 24-hour Hackathon on December 4th and 5th , 2024. The hackathon focused on solving real-time problem statements for the college, encouraging students to apply their technical skills, creativity, and teamwork. Innovative ideas and projects were presented by all the teams. Students of 7th and 5th Sem were also involved in developing many application for Hackathon automation like – Movement Monitoring System, Food Coupon Automation, Online Evaluation Portal, Automated ID card generation
	The Department of CSE (AI&ML) had a series of Technical Sessions during the Navratri festival as a unique way to celebrate this Dasara called as Tech Dasara 2024 Opportunity for students to present their Technical Skills
Google Cloud for Education
Real time Mini Project
	GSSSIETW Institute Management Admission Application
	Department QR Code Based Inventory Management System
	Students Setting up Department
	Lab System with Operating System Installation
	VTU Result Extractors and Analysis
	Department Dashboard

Achievements

Student Achievements

Major achievements:

• Bhoomika M R 2025 batch student secured Admission to Masters Program in AI at Boston University, USA
• Harshitha B G,Poorvika M, ImpanaKoushik, Gunashree Pand the mentors Dr Arpitha Shankar S I and Dr Manjuprasad B received a grant from the Karnataka State Council for Science and Technology (KSCST) for the academic year 2024–25. A fund of ₹4,500 was sanctioned for the project titled “QuickTube: Instant Summaries for YouTube Videos Using AI.”
• 75+ students got Google cloud skill badges
• 2nd year student RuchithaS(4GW23CI045)received PhiniaScholorship Program based on her performance
• 2ndyear student Ruchitha S(4GW23CI045) have been selected for Schneider Electric Scholorship Program, Sponsored for entire degree to ₹50,000/ every year. Also they will provide with a mentor who will be guiding her professional and personal front and help her in their career progression.

IPR by Students:

• Rachana D Kashyap, Bhoomika M R, Divya S, Dr Manjuprasad B, Dr. Shivakumar. M, Anupama B Pandit, College Admission Management Portal(Student Project), Diary No. 7314/2024-CO/SW, RegistrationNo: SW-18635/2024, Registered Date: 15/04/2024 Category- Software, Status: Registered
• Sushmitha G, Vinutha J, Dr. Manjuprasad B, Dr. Shivakumar M, Department Dashboard - SAINA (Student Project),  Diary No. 8389/2024-CO/SW, Registration No: SW-18826/2024, Registered Date: 29/05/2024  Category- Software, Status: Registered
• Kavya C, Moulya R, Jeevitha H M, Dr. Manjuprasad B, Dr. Shivakumar M, Barcode Generation for Auditing Inventories- BarGe (Student Project),  Diary No. 18495/2024-CO/SW, Status: Applied
• Fiza Naaz, Pragna M V, Jeevitha H M, Geetha A L, Dr. Manjuprasad B, Dr. Shivakumar M Result Analysis Automation using Python Fitz and PyMySQl (Student Project),  Diary No. 18495/2024-CO/SW, Status: Applied
• Divya s, SandhyaGangadharaBhat, Dr.Manjuprasad B, Dr. Shivakumar M, Department Blog Acharya using React JS, Node JS, Express JS, MySQL(Student Project), Diary No.3285/2025-CO/SW, Registration No: SW-20280/2025, Registered date:26/03/2025 Status: Registered
• Likitha Rani, Moulya M R, Pratheeksha H L, Kavya C, Dr. Manjuprasad B, Automation of Course Attainment Level using HTML CSS, PHP, MySQL, JS(Student Project)

Events Statistics

Rachana D Kashyap, Anannya P S, Saniha S Jain, Bhoomika M R participated in Cognizant Digital Nurture Technoverse 2023 Hackathon and Secured Internship Opportunity at Cognization

Events

TECHNICAL EVENTS 2024-2025

Events: 2023-24

Events: 2022-23

Placement

PLACEMENT STATISTICS
Students Placed in the Year 2024-2025(2021- 2025 Batch)

Placement Details 2024-25

INTERNSHIP DETAILS AY 2024-2025 Batch 2021-2025

Internship and Mentorship 2026 Graduating Batch Students Achievements BATCH 2022-26

HPE-CPP Program for Real Time Projects (Batch 2026)

DELL Stem Aspire Mentorship Program (2026 Batch)

Internship and Mentorship 2025 Graduating Batch Students Achievements during Internship hiring at GSSSIETW

Placement Training Details ODD SEM- AY 2023-24

Placement Training Details EVEN SEM- AY 2023-24

Gallery

Google Cloud Club organized "THE CLOUD SPRINT CHALLENGE" on 26th Feb 2024

Contact

Dr. MANJUPRASAD B, BE, Ph.D

Professor & Head, 

Department of CSE(AI&ML)

GSSS Institute Of Engineering & Technology For Women

Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

Phone : 0821-4257304 (EXT-2307)