Translation. Region: Russian Federation –
Source: Peoples'Friendship University of Russia
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The RUDN University Faculty of Artificial Intelligence (FAI) laboratory has developed an intelligent system called "Smart Report." The project combines advanced natural language processing (NLP) and machine learning technologies to automate document and database management.
Smart Report can understand queries in plain English, extract key information from massive documents, and instantly transform it into visual graphs and charts. The system doesn't just search for data; it understands the context, ensuring visualizations are as relevant as possible to the user's query.
The development's application areas cover key areas of the digital economy:
Full automation of corporate reporting; in-depth business analytics without the need for programmers; intelligent processing of large volumes of text; dynamic visualization of complex data.
An international team of researchers led by Anton Aleksandrovich Poddubsky, Dean of the Faculty of Artificial Intelligence, worked on the project.
The authors' team:
Anton Aleksandrovich Poddubskiy, Dean of the Faculty of Artificial Intelligence, Candidate of Technical Sciences; Naim Rezaian, Head of the Laboratory of the Faculty of Artificial Intelligence; Nikita Grechannikov, second-year undergraduate student (major in Fundamental Informatics and Information Technology); Arseniy Knyazev, second-year undergraduate student (major in Fundamental Informatics and Information Technology); Evgeny Rozhdestvensky, first-year master's student (major in Data Management and Artificial Intelligence).
The results of the research have already received official confirmation: the development team has obtained a state registration certificate for the computer program. This not only protects the university's intellectual property but also confirms the innovative nature of the development. The Dean of the Faculty of Information Sciences emphasized the project's importance for the university's development.
"At RUDN University, we always focus on interdisciplinary research and the practical application of it. 'Smart Report' was born at the intersection of linguistics, data analysis, and programming. Our goal is to blur the line between humans and complex databases, making analytics accessible to everyone. It's especially valuable that our team includes not only experienced researchers but also students," says Anton Poddubsky.
Nikita Grechannikov, a second-year undergraduate student and one of the system's developers, shared his impressions of participating in the project.
"Working on 'Smart Report' was my first experience participating in such a serious research project. It's amazing to realize that after just a year and a half of training, you can already apply the knowledge you've gained to creating a truly functional product, one that's even state-registered. This wasn't just a learning exercise—we were solving a real-world problem of human-machine interaction," says Nikita Grechannikov.
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