BA Class 2027 students recently shared their experience and knowledge with first-year students in an interactive session, demonstrating how math, coding, and curiosity can be applied to solve real-world problems. The event highlighted the growing role of machine learning in economics, industry, and healthcare, and provided students with a practical perspective on its applications.
During the session, students presented their own machine learning projects, showcasing innovative approaches to complex challenges:
- Brain Tumor Detection – Daniela Gvazava
- Where’s Waldo? – Sandro Kurdghelashvili & Salome Lobjanidze
- Car Damage Classification – Durmishkhan Gigineishvili
The presentations offered a hands-on understanding of how data analysis, coding, and algorithmic thinking can be combined to produce impactful results. The session also emphasized the importance of curiosity, critical thinking, and collaboration in the learning process.
ISET extends its thanks to all students who took part in the session and encourages continued exploration and innovation in the field of machine learning.
