Students of VNTU successfully defended bachelor's theses in specialty 126 "Information systems and technologies"

In June at the Department of System Analysis and Information Technologies of FIITA
Defenses of bachelor's qualification theses in education have been completed at VNTU
program "Applied information technologies" specialty 126
"Information systems and technologies". All students defended successfully.
Serhii, director of Analytika LLC, was the chairman of the examination commission
Oliynyk, a well-known developer of IT solutions in various fields in Ukraine and abroad
the border

The topics of the works were broad: creation of information systems, systems and
programs using modern databases, web technologies, the Internet
things and technologies of intelligent data analysis using
machine learning and Python.

As a result of complex work of students Hryhoriy Gavrilov, Volodymyr
Panasyuk and Bohdan Konotop under the leadership of associate professor Dmytro Protsenko
an operating stand with an information system based on French was created
Sigfox IoT stations with the ability to read data through a mobile application,
created by these students. Tests were also conducted on the pond
on the territory of VNTU, a mobile mobile water quality monitoring station, too
created on the basis of Sigfox technologies.

Student Taras Skrynnyk developed information technology analysis and
forecasting the spread of Sahara dust in the air of Ukraine according to the data
public monitoring of EcoCity. His model predicts the concentration of
the PM1 indicator with an accuracy of 0.89. Then it was possible to increase this accuracy to
0.97 using a new method developed by a graduate student
124 by Volodymyr Kopniak - according to the results of this study already
an article was published in a scientific journal. This work has been evaluated
for a maximum of 100 points.

The qualification work of Vladyslav Pobidash, which is also white, is rated 100
points, was dedicated to using user feedback for optimization
software products. His work is part of a complex project
of the EPAM company, created using the TypeScript programming language,
frameworks Next.js, Nest.js and LangChain using GPT-4 from OpenAI.
The system deeply analyzes the text of reviews, understands their semantics, context and
emotional tone This allows you to accurately categorize reviews by topic for
further analysis. The system also automatically determines the emotional mood

reviews, creates short summaries, generates responses to reviews, identifies
errors and suggestions for improving the software application. Also
the system sends notifications to Slack according to configured rules and
scenarios.

Mobile application for providing limited access mode on
Anastasia Monastyrska's mobile device allows personal protection
user data from unauthorized access, namely accidental access
use when the device is passed on to a child.

All works were supervised by full-time teachers of the SAIT department. Many students
tested their results at scientific conferences and
published them in collections of theses of reports, and one in an article in the magazine "Naukovi
works of VNTU". Most students will try to continue their studies at
in our department - at the master's degree accredited this year
program "Information technologies of data and image analysis" specialty
126.