CLARA: A unified hybrid AI-human receptionist framework using WebRTC and Monorepo architecture.
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| Title: | CLARA: A unified hybrid AI-human receptionist framework using WebRTC and Monorepo architecture. |
|---|---|
| Authors: | Babu, Dhanush Sridhar1 dhanushs.babu0245@gmail.com, Nagesh, Nagashree1 nagashree.n@saividya.ac.in, Aashuthosh, Amble Nagendra1 aashuthoshn@gmail.com, Chandra, Adithya Nimmala1 ncadithya2004@gmail.com, Kumar, Muthusamy Naveen1 m.naveenkumar6360@gmail.com |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708). Oct2026, Vol. 16 Issue 5, p2769-2781. 13p. |
| Subjects: | Hybrid systems, Software architecture, Live streaming, Chatbots, Videoconferencing, Artificial intelligence |
| Abstract: | The rapid digitalization of enterprise infrastructure has caused a major change in institutional communication. This change requires the traditional front desk to transform into a high-tech center for security and logistics. However, current automated solutions often create what is known as the "automation paradox." In this situation, removing human oversight increases the importance and complexity of the remaining interactions. This work outlines the design, implementation, and evaluation of conversational low-latency AI receptionist agent (CLARA). CLARA is a new hybrid system which solves the problems of unattended kiosks by combining a conversational AI, which uses the Google Gemini API, with a low-latency, real-time WebRTC video calling system. The design features a strong 3-Tier Monorepo built with React, TypeScript, Express.js, Socket.IO, and PostgreSQL. This setup ensures type safety and consistency in the code across the entire stack. Key contributions of this project include a custom Socket.IO signaling server for secure peer-to-peer connections, a "Humanin-the-Loop" workflow that reduces handoff issues, and an "Offline-First" strategy ensuring the system keeps working during network disruptions. Performance tests show that CLARA achieves less than 200 ms glass-to-glass latency and handles high traffic well, proving it is an effective and reliable solution for modern visitor management. [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: 197465861 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: CLARA: A unified hybrid AI-human receptionist framework using WebRTC and Monorepo architecture. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Babu%2C+Dhanush+Sridhar%22">Babu, Dhanush Sridhar</searchLink><relatesTo>1</relatesTo><i> dhanushs.babu0245@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Nagesh%2C+Nagashree%22">Nagesh, Nagashree</searchLink><relatesTo>1</relatesTo><i> nagashree.n@saividya.ac.in</i><br /><searchLink fieldCode="AR" term="%22Aashuthosh%2C+Amble+Nagendra%22">Aashuthosh, Amble Nagendra</searchLink><relatesTo>1</relatesTo><i> aashuthoshn@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Chandra%2C+Adithya+Nimmala%22">Chandra, Adithya Nimmala</searchLink><relatesTo>1</relatesTo><i> ncadithya2004@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Muthusamy+Naveen%22">Kumar, Muthusamy Naveen</searchLink><relatesTo>1</relatesTo><i> m.naveenkumar6360@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>. Oct2026, Vol. 16 Issue 5, p2769-2781. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Hybrid+systems%22">Hybrid systems</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Live+streaming%22">Live streaming</searchLink><br /><searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22Videoconferencing%22">Videoconferencing</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The rapid digitalization of enterprise infrastructure has caused a major change in institutional communication. This change requires the traditional front desk to transform into a high-tech center for security and logistics. However, current automated solutions often create what is known as the "automation paradox." In this situation, removing human oversight increases the importance and complexity of the remaining interactions. This work outlines the design, implementation, and evaluation of conversational low-latency AI receptionist agent (CLARA). CLARA is a new hybrid system which solves the problems of unattended kiosks by combining a conversational AI, which uses the Google Gemini API, with a low-latency, real-time WebRTC video calling system. The design features a strong 3-Tier Monorepo built with React, TypeScript, Express.js, Socket.IO, and PostgreSQL. This setup ensures type safety and consistency in the code across the entire stack. Key contributions of this project include a custom Socket.IO signaling server for secure peer-to-peer connections, a "Humanin-the-Loop" workflow that reduces handoff issues, and an "Offline-First" strategy ensuring the system keeps working during network disruptions. Performance tests show that CLARA achieves less than 200 ms glass-to-glass latency and handles high traffic well, proving it is an effective and reliable solution for modern visitor management. [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.v16i4.pp2769-2781 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 2769 Subjects: – SubjectFull: Hybrid systems Type: general – SubjectFull: Software architecture Type: general – SubjectFull: Live streaming Type: general – SubjectFull: Chatbots Type: general – SubjectFull: Videoconferencing Type: general – SubjectFull: Artificial intelligence Type: general Titles: – TitleFull: CLARA: A unified hybrid AI-human receptionist framework using WebRTC and Monorepo architecture. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Babu, Dhanush Sridhar – PersonEntity: Name: NameFull: Nagesh, Nagashree – PersonEntity: Name: NameFull: Aashuthosh, Amble Nagendra – PersonEntity: Name: NameFull: Chandra, Adithya Nimmala – PersonEntity: Name: NameFull: Kumar, Muthusamy Naveen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 16 – Type: issue Value: 5 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
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