Anton Averyanov, a 3rd-year student at the Higher School of Electronics and Computer Science of SUSU, together with his team of developers, created SheetsGPT — a neural network capable of simplifying the work of all specialists who have to work with data tables.
The "SheetsGPT" approach is based on the use of a neural network that can understand user text requests. This tool processes requests and provides the user with convenient results. Users can upload their spreadsheets to the platform, write a request, and receive the necessary data within 8-15 seconds.
This project allows you to look at data processing in a new way. Now, in order to process some report, you do not need to write complex formulas or macros. You can get what you need with a simple text request. This solution will allow you to build summary reports, graphs, text selections.
Moreover, the neural network can compare and analyze several tables simultaneously, providing data slices. In the future, developers plan to add a function for editing tables via SheetsGPT.
Currently, the project is in beta testing, but sales to end users and implementation in the corporate and public sectors are planned to begin soon. The team is also considering long-term support from the NTI, which will expand market coverage.
Anton Averyanov emphasizes that although the use of the site by legal entities may cause some inconvenience due to the need for automatic data loading, it was decided to create individual data input/output systems for each corporate partner. «We plan to start selling to end consumers in September», Averyanov promised.