Department of Computer Science and Engineering

Paper Publication by 5Th Sem students at IEEE conference

Aisha Karigar, Samrudhi Patil, and Mohammed Qadir Ternikar from 5th semester of Department of computer Science Engineering and CSE(Artificial Engineering) have achieved a remarkable milestone by publishing their research paper: "Predictive Modeling of Metastatic Diagnosis Period in Breast Cancer Using MachineLearning”. This groundbreaking work was presented at the prestigious IEEE Conference on Engineering Informatics 2024 (ICEI 2024) under the expert guidance of Dr. Priyanka Gavade.

5th Sem students won a challenge of a 24-hour Hackathon at KLE-IT, Hubli

Our 5th-semester squad—Suhan Jamadar, Akash Halli, Abhay Patil, and Harsh Nesari—took on the challenge of a 24-hour Hackathon at KLE-IT, Hubli, and emerged with a cutting-edge solution!

They developed an innovative Full Stack + AI/ML-based Patient Record Management System that transforms how medical data is managed and utilized.This hackathon event was an incredible learning experience, blending teamwork, creativity, and tech innovation to solve real-world problems.

Students receiving funding of Rs.1,00,000/- under MSME

University - Industry Academia Relations are required to Bridge the Gap between Students and the latest work Environment. KLE Dr. M. S. Sheshgiri College of Engineering and Technology received funding worth ₹1,00,000/- under MSME - TTL projects. Dr. Rajashree Khanai, HOD-CSE with student teams received the funding.

6th Sem students won consolation prize of Rs. 10000/- in grand finale of the EG AI Innovation Hackthon 2024

Vinay Khanagavi of VI semester B.E. along with 3 students of other college won the consolation prize of Rs. 10000/- in grand finale of the EG AI Innovation Hackthon 2024, organized by EG India Pvt. Ltd. & Inunity LLP held on 14th & 15th May 2024 at EG premises, Mangalore

VII semester students’ manuscript accepted for publication

VII semester students Miss. Megha Gokanvi, Miss. Ashwini Guddadamani, Miss. Supriya Chougale’s accepted the manuscript for publication titled “L3Buddy: A Location aware Academic Content-recommendation System through Machine Learning based Cache Techniques” in Multimedia Tools and Applications a Q1 Journal. Work was carried out as a part of their Mini Project in 5th Semester