Development of BAPOLAIC: AI chatbot for optical character recognition based-document extraction and voice assistant.
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| Title: | Development of BAPOLAIC: AI chatbot for optical character recognition based-document extraction and voice assistant. |
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| Authors: | Wijaya, Ryan Satria1 ryan@polibatam.ac.id, Fahreji, Rival1 rivalfahreji91@gmail.com |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708). Apr2026, Vol. 16 Issue 2, p1002-1009. 8p. |
| Subjects: | Optical character recognition, Multimodal user interfaces, Chatbots, Information retrieval, Intelligent personal assistants, Educational resources, Natural language processing, Application program interfaces |
| Abstract: | Conventional chatbots often lack integrated functionalities for complex academic tasks, such as multi-format document handling and multimodal interaction. This paper presents the design, implementation, and performance evaluation of BAPOLAIC, a web-based, multimodal AI assistant developed to address this gap. The system architecture integrates optical character recognition (OCR), a dual-strategy natural language processing (NLP) module, and voice assistance, all orchestrated by the Gemini API. Quantitative evaluation confirmed high performance: the OCR module achieved a 98.69% average accuracy, and the retrieval-based NLP path correctly handled 90% of test queries. Furthermore, the API integration demonstrated exceptional efficiency with a median latency as low as 0.06 ms. Task-based evaluations validated BAPOLAIC's effectiveness in performing intelligent functions like summarization and content-based Q&A, with a superior capacity for handling up to 10 consecutive documents. The results validate BAPOLAIC as a successful proof-of-concept for a specialized academic tool, providing a framework for integrating multiple AI technologies to enhance educational productivity. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192718363 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of BAPOLAIC: AI chatbot for optical character recognition based-document extraction and voice assistant. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wijaya%2C+Ryan+Satria%22">Wijaya, Ryan Satria</searchLink><relatesTo>1</relatesTo><i> ryan@polibatam.ac.id</i><br /><searchLink fieldCode="AR" term="%22Fahreji%2C+Rival%22">Fahreji, Rival</searchLink><relatesTo>1</relatesTo><i> rivalfahreji91@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Apr2026, Vol. 16 Issue 2, p1002-1009. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Optical+character+recognition%22">Optical character recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Multimodal+user+interfaces%22">Multimodal user interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+personal+assistants%22">Intelligent personal assistants</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+resources%22">Educational resources</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Application+program+interfaces%22">Application program interfaces</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Conventional chatbots often lack integrated functionalities for complex academic tasks, such as multi-format document handling and multimodal interaction. This paper presents the design, implementation, and performance evaluation of BAPOLAIC, a web-based, multimodal AI assistant developed to address this gap. The system architecture integrates optical character recognition (OCR), a dual-strategy natural language processing (NLP) module, and voice assistance, all orchestrated by the Gemini API. Quantitative evaluation confirmed high performance: the OCR module achieved a 98.69% average accuracy, and the retrieval-based NLP path correctly handled 90% of test queries. Furthermore, the API integration demonstrated exceptional efficiency with a median latency as low as 0.06 ms. Task-based evaluations validated BAPOLAIC's effectiveness in performing intelligent functions like summarization and content-based Q&A, with a superior capacity for handling up to 10 consecutive documents. The results validate BAPOLAIC as a successful proof-of-concept for a specialized academic tool, providing a framework for integrating multiple AI technologies to enhance educational productivity. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/ijece.v16i2.pp1002-1009 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1002 Subjects: – SubjectFull: Optical character recognition Type: general – SubjectFull: Multimodal user interfaces Type: general – SubjectFull: Chatbots Type: general – SubjectFull: Information retrieval Type: general – SubjectFull: Intelligent personal assistants Type: general – SubjectFull: Educational resources Type: general – SubjectFull: Natural language processing Type: general – SubjectFull: Application program interfaces Type: general Titles: – TitleFull: Development of BAPOLAIC: AI chatbot for optical character recognition based-document extraction and voice assistant. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wijaya, Ryan Satria – PersonEntity: Name: NameFull: Fahreji, Rival IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
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