AI-Powered Travel Safety and Assistance System Integration
The project titled Safe Voyage – An AI-Powered Intelligent Travel Safety and Assistance System aims to enhance traveler security by integrating multiple smart technologies into a single unified platform. Modern travelers often face uncertainties such as unsafe routes, language barriers, sudden weather changes, and lack of information about nearby emergency resources. To address these issues, Safe Voyage uses real-time data processing, risk assessment models, and advanced API integrations to provide a reliable and context-aware travel companion. The system incorporates several external services, including Google Directions for route generation, OpenWeather OneCall for real-time hazard alerts, Travel Advisory API for country safety ratings, and Google Translation API for multilingual support. These APIs work alongside custom backend modules designed for safety reporting, route scoring, emergency locator services, and itinerary planning. Using geospatial analysis and hazard evaluation, the platform assigns a safety score to every route and recommends the safest path rather than simply the shortest one. In addition to navigation, the application features instant emergency access, community-driven safety reporting, offline tools, and itinerary planning to support users throughout the entire journey. The interface is built to be accessible, responsive, and optimized for travelers even in low or unstable network conditions. By combining intelligence, automation, and user-centered design, Safe Voyage ensures a more secure, informed, and seamless travel experience. This project demonstrates how data-driven decision-making and AI-enabled systems can significantly improve travel safety and contribute to modern digital mobility solutions.
Authors
- Dipanshi Gupta
- Rupa Kumari
- Roopali Gupta
- Hari Om Vishawkarma
- Md Sakib
Publication Details
- Journal
- Iconic Research and Engineering Journals
- Published
- 2026-01-22
- DOI
- https://doi.org/10.64388/irev9i7-1713694
- Primary Topic
- IoT and GPS-based Vehicle Safety Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00