A SECURE WEB-BASED AVIATION RECORD MANAGEMENT SYSTEM WITH INTEGRATED RETRIEVAL-BASED CHATBOT USING MEAN STACK

ABSTRACTThis paper presents the design andimplementation of a secure, cloud-enabled PilotPortal Application that digitalizes aviation recordmanagement, including medical certificates, flightlogbooks, pilot licenses, and personal details.Developed using the MEAN stack (MongoDB,Express, Angular, Node.js), the system employsJSON Web Tokens (JWT) for authenticationwithout relying on external IAM frameworks. Anovel addition to the system is a retrieval-basedchatbot that interacts with pilot data stored in thedatabase, enabling users to obtain informationusing natural-language queries. The chatbotinterprets user intent and retrieves correspondingentries from medical, license, profile, or logbookmodules.The system’s architecture ensures modularity,scalability, and real-time dashboard generation,while the chatbot enhances accessibility andusability. This work demonstrates howconversational retrieval mechanisms can supportaviation applications and reduce manual lookuptime, providing an efficient digital ecosystem forpilots and training institutions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-12
DOI
https://doi.org/10.5281/zenodo.18220766
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

A SECURE WEB-BASED AVIATION RECORD MANAGEMENT SYSTEM WITH INTEGRATED RETRIEVAL-BASED CHATBOT USING MEAN STACK

Mrs. E. Vijayalakshmi, Jeya Deva Akash J, Surya M, Ranjith C
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

A SECURE WEB-BASED AVIATION RECORD MANAGEMENT SYSTEM WITH INTEGRATED RETRIEVAL-BASED CHATBOT USING MEAN STACK

Mrs. E. Vijayalakshmi, Jeya Deva Akash J, Surya M, Ranjith C
article en

Abstract

ABSTRACTThis paper presents the design andimplementation of a secure, cloud-enabled PilotPortal Application that digitalizes aviation recordmanagement, including medical certificates, flightlogbooks, pilot licenses, and personal details.Developed using the MEAN stack (MongoDB,Express, Angular, Node.js), the system employsJSON Web Tokens (JWT) for authenticationwithout relying on external IAM frameworks. Anovel addition to the system is a retrieval-basedchatbot that interacts with pilot data stored in thedatabase, enabling users to obtain informationusing natural-language queries. The chatbotinterprets user intent and retrieves correspondingentries from medical, license, profile, or logbookmodules.The system’s architecture ensures modularity,scalability, and real-time dashboard generation,while the chatbot enhances accessibility andusability. This work demonstrates howconversational retrieval mechanisms can supportaviation applications and reduce manual lookuptime, providing an efficient digital ecosystem forpilots and training institutions.

Zenodo (CERN European Organization for Nuclear Research)
Madurai Kamaraj University (IN)
Openalex Percentile: Top 91%
AI in Service Interactions
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