Bharat Yatra Sahayak: A Smart Travel Assistance System for Tourists
Abstract
The rapid expansion of the tourism sector in India has led to an increased reliance on digital platforms for travel planning and assistance. However, existing travel applications are often fragmented, requiring users to rely on multiple services for bookings, navigation, safety, and communication. Tourists also face challenges such as language barriers, lack of verified local services, and limited safety mechanisms during emergencies. These limitations highlight the need for a unified and intelligent travel assistance system tailored to the diverse requirements of Indian travellers. To address these challenges, this paper presents Bharat Yatra Sahayak, an integrated smart travel assistance platform designed to enhance convenience, safety, and accessibility for tourists. The proposed system offers multi-lingual support to cater to users from different linguistic backgrounds and includes real-time SOS alert functionality for emergency situations. It also provides verified tourist guide services and consolidated booking facilities for flights, hotels, and local transportation options such as cabs, bikes, and auto rides within a single application. Furthermore, the system incorporates GPS tracking with Google Maps integration to enable accurate navigation and real-time location monitoring, thereby improving traveller safety and route efficiency. The application is implemented using modern mobile and backend technologies to ensure scalability, reliability, and user-friendly interaction. Functional testing and result analysis indicate that the proposed system reduces dependency on multiple applications and significantly improves the overall travel experience. The Bharat Yatra Sahayak platform aims to support safer tourism practices and contribute to the digital transformation of India’s travel ecosystem in alignment with the standards
Fields of Study & Subjects
IoT and GPS-based Vehicle Safety Systems
ICT in Developing Communities
Human Mobility and Location-Based Analysis
Publication details
- Journal / source
- International Journal for Research in Applied Science and Engineering Technology
- Volume
- 14
- Issue
- 1
- Pages
- 309–314
- Publication date
- 9 January 2026