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The Use Of Mygpt For Creating Aggregated Reports In Specific Report Templates Using Data From Personalised Interviews

Author

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  • Julian Vasilev

    (University of Economics - Varna / Department of Informatics, Varna, Bulgaria)

Abstract

This study explores the use of MyGPT, an AI-based language model, for generating aggregated reports in specific report templates using data from personalized interviews. The focus is on how MyGPT can automate report generation, ensuring consistency, accuracy, and efficiency. The research involved developing a framework that integrates MyGPT with interview data processing pipelines. Results show that MyGPT significantly reduces the time required for report generation while maintaining high standards of content quality. A case study is presented to demonstrate the practical application of the framework in a real-world scenario. The paper discusses the implications of these findings and suggests directions for further research.

Suggested Citation

  • Julian Vasilev, 2024. "The Use Of Mygpt For Creating Aggregated Reports In Specific Report Templates Using Data From Personalised Interviews," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 42-46.
    • Handle: RePEc:vrn:katinf:y:2024:i:1:p:42-46
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    File URL: https://informatics.ue-varna.bg/ICTBE2024/ICTBE2024_42-46.pdf
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    More about this item

    Keywords

    MyGPT; document templates; personalized interviews;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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