A third-year student of the Higher School of Electronics and Computer Sciences at SUSU, Anton Averyanov, along 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, which is able to understand user's text queries. This tool processes queries and provides user-friendly results. Users can upload their spreadsheets to the platform, type in a query, and within 8-15 seconds get the needed data.
This project allows you to look at data processing in a new way. Now, in order to process a report, you do not need to write complex formulas or macros. You can get what you need with a simple text query. This solution will allow you to build consolidated reports, charts, text samples.
Moreover, the neural network can compare and analyze multiple tables at once, providing data slices. In the future, developers plan to add the feature of editing tables via SheetsGPT.
At this moment, the project is in the beta testing stage, but sales to end users and implementation in the corporate and public sectors are planned soon. The team is also considering the possibility of long-term support from NTI, which will help to expand the market coverage.
Anton Averyanov emphasizes that although the use of the site by legal entities may cause certain inconveniences due to the need for automatic data downloading, the decision was made to create individual data input/output systems for each corporate partner. "We plan to start selling to end users in September", Averyanov promised.