Block Chain and AI-Enable Tourist Safety Monitoring & Emergency Response System

Abstract

This study proposes a safety framework that employs blockchain and artificial intelligence (AI) to enhance the protection of tourists and manage emergencies more effectively.. In these situations the AI module analyzes real-time data on crowds, environment and location to predict possible risks and enable proactive decisions. Additionally blockchain is employed to ensure the security of tourist identities online and to stop fabrication of incident report data allowing data integration for communication, between rescue teams and security forces. By collaborating these technologies can foster coordination, among departments and shorten the response time to offer tourists a safer and more dependable travel experience.

Introduction

The text describes an AI and Blockchain-based Tourist Safety Monitoring and Emergency Response System (AB-TSMERS) designed to improve tourist safety and emergency response efficiency.

Tourism is economically important, but current safety systems are slow and unreliable because they depend on manual reporting and centralized information sharing. To address this, the proposed system integrates:

• Artificial Intelligence (AI) to analyze real-time data (crowd density, weather, location, sensor inputs) and predict potential risks or incidents.
• Blockchain technology to securely store and verify data, ensuring transparency, trust, and tamper-proof records for emergencies and coordination among agencies.

The literature review shows:

• AI techniques (like computer vision and sensor fusion) are effective for detecting abnormal behavior and crowd risks.
• Blockchain improves secure data sharing, identity verification, and coordination among emergency agencies.
• Combining AI and blockchain creates stronger safety systems, but challenges remain in scalability and integration.

The methodology includes five phases:

1. Collecting data from sensors, GPS, and weather sources.
2. Using AI to detect risks and generate alerts.
3. Storing and sharing verified data through blockchain and smart contracts.
4. Integrating both systems into a user app and control dashboard.
5. Testing and deploying the system in real environments.

The results indicate that the proposed system:

• Responds to emergencies about 30% faster than traditional systems.
• Improves prediction of risky situations.
• Ensures secure and transparent data storage.
• Enhances communication between emergency response teams.

However, challenges include high implementation cost, scalability issues, and the need for large datasets for accurate AI performance.

Conclusion

The AB-TSMERS system is a way to keep tourists safe in the end. The AB-TSMERS system uses smart technology and blockchain to keep an eye on tourists and guess what might happen to them. The AI part of the AB-TSMERS system is very important because it helps find threats and tells the police about them. The AB-TSMERS system is safe and open because it uses blockchain technology to keep all the data safe. The AB-TSMERS system also helps groups like the police and health care teams work together. This makes it easier to handle emergencies. It helps people. The AB-TSMERS system works well because it has smart contracts and ways to keep track of who you are. Overall, the AB-TSMERS system makes tourists safer. Helps the tourism industry grow. If the AB-TSMERS system is improved and used in real life, it could help keep tourists safe in the future.

References

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Copyright

Copyright © 2026 Kondoju Sri Sai Varun, Tilekar Bindu, Levudala Sanjana, Mrs. K. Radhika. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.