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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM56224

AI-Powered Smart Tourist Safety System with Geo-Fencing and Blockchain Identity

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM56224

Volume:

10 |

1 |

Jan 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56224

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DBS

Dr Brindha S1

MSN

Ms. Subhashini N2

MNVV

Mr. Nikil Vardhan V3

MKk.

Mr. Kapish kumar .P4

MJJ

Mr. Jayawanth J5

MKB

Ms. Kanishkka B6

MGsR

Ms. Gopika shree R7

MBSS

Ms. Bala Swathi S8

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Abstract

Tourist safety has become a pressing concern as incidents involving accidents, delayed emergency response, and identity verification challenges continue to rise. This paper proposes GuardianGo—a Smart Tourist Safety Monitoring and Incident Response System integrating Artificial Intelligence (AI), geo-fencing, and blockchain-based Self-Sovereign Identity (SSI). The system provides multi-channel emergency alerts, AI-driven incident prioritization, and verifiable digital identity sharing through secure credentials. It also includes offline safety mechanisms, real-time geofencing alerts, and a multilingual assistance framework to ensure rapid response even in low-connectivity environments. Through feasibility assessment and architectural evaluation, this paper demonstrates how integrated safety technologies can enhance trust, transparency, and responsiveness in the tourism ecosystem.

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Cite This Article

Dr Brindha S1, Ms. Subhashini N2, Mr. Nikil Vardhan V3, Mr. Kapish kumar .P4, Mr. Jayawanth J5, Ms. Kanishkka B6, Ms. Gopika shree R7, Ms. Bala Swathi S8, "AI-Powered Smart Tourist Safety System with Geo-Fencing and Blockchain Identity," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 1, Jan 2026. https://doi.org/10.55041/IJSREM56224

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Publication Date

1/28/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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