Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM65389

Travaalay: A Smart Tourist-Translator Platform with AI-Based Itinerary and Local Experience Integration”

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65389

Volume:

10 |

6 |

Jun 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

Share this article:

Authors

DP

Devashree Pate

Department of Computer Engineering

Zeal College of Engineering and Research

Download Author Certificate
AS

Antriksh Shah

Department of Computer Engineering

Zeal College of Engineering and Research

Download Co-Author Certificate
GK

Gauri Kshirsagar

Department of Computer Engineering

Zeal College of Engineering and Research

Download Co-Author Certificate

Mentors

PNR

Prof. Nitisha Rajgure

Department of Computer Engineering

Zeal College of Engineering and Research

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

The tourism industry contributes significantly to economic growth and cultural exchange across the world. However, communication difficulties caused by language differences continue to affect travelers visiting unfamiliar places. Many existing translation applications provide fast language conversion but often fail to understand cultural context, local expressions, and real-time conversational meaning. To address these challenges, this study presents a smart tourist–translator platform that connects travelers with local translators through a mobile application. The system also integrates an AI-based itinerary generation module that creates personalized travel plans according to user preferences such as budget, duration, and interests. In addition, the application promotes agro-tourism and astro-tourism experiences by helping travelers discover local farms, rural activities, and stargazing locations. The frontend of the application is developed using Flutter, while Node.js and MySQL are used for backend processing and database management. The proposed platform improves communication, simplifies travel planning, and encourages sustainable local tourism. The proposed platform aims to create a more interactive, personalized, and culturally connected travel experience for users. It also supports local communities by promoting sustainable tourism and generating opportunities for local translators and tourism providers.

KEYWORDS

Tourism AI-Based Itinerary Planning Human Translation Support Mobile Application Flutter Node.js Personalized Recommendation System Agro Tourism Astro Tourism Smart Tourism Travel Assistance Cultural Communication

Cite This Article

Devashree Pate, Antriksh Shah, Gauri Kshirsagar, Prof. Nitisha Rajgure, "Travaalay: A Smart Tourist-Translator Platform with AI-Based Itinerary and Local Experience Integration”," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-6, Jun 2026.

Full Article/Conclusion

The proposed system offers an efficient and practical solution to overcome language barriers in the tourism sector. The platform ensures both accurate communication and personalized travel planning by integrating human translators with advanced AI-based itinerary generation. Tourists can easily connect with translators who understand their language, making interactions smoother and reducing misunderstandings during travel. At the same time, the AI module helps users create customized travel plans based on their preferences, budget, and duration, simplifying the overall planning process. In addition to communication and planning, the system introduces unique local experience modules such as agro tourism and astro tourism, allowing travelers to explore cultural, rural, and nature-based activities. This not only enriches the travel experience but also encourages deeper cultural exchange between tourists and local communities. By combining technology with human interaction and focusing on sustainability, the system contributes to responsible tourism while delivering a more engaging, convenient, and meaningful travel experience for users.

References

[1]      N. Rajgure, D. Pate, G. Kshirsagar, and A. Shah, “Travaalay: An AI-Powered Mobile Platform for Tourism with Student Translator Guides, Agro-Tourism, and Astro-Tourism Experiences,” International Journal of Research and Scientific Innovation (IJRSI), vol. 12, no. 10, pp. 516–520, 2025. [2]   G. N. Leela, A. Pranathi, and N. Anuradha, “An Android Application for Enhancing Agri-Tourism and Wetland Conservation through Farmer-Consumer Engagement,” International Journal of Advanced Trends in Computer Science and Engineering, vol. 13, no. 2, pp. 384–391, 2024. [3]      B. Maulik, A. Roy, and S. Banerjee, “Design and Implementation of Virtual Tour Guide App,” in Proc. Int. Conf. Advanced Computing Technologies & Applications (ICACTA), Mumbai, India, 2022, pp. 567–572. [4]    N. S. Prabha, R. Anusha, and R. Rajesh, “Personalized Travel Itinerary Generator System,” International Journal of Computer Applications, vol. 182, no. 23, pp. 15–21, 2023. [5]  F. Ricci, L. Rokach, and B. Shapira, Recommender Systems Handbook, 3rd ed. New York, NY, USA: Springer, 2022. [6]    J. Borràs, A. Moreno, and A. Valls, “Intelligent tourism recommender systems: A survey,” Expert Systems with Applications, vol. 41, no. 16, pp. 7370–7389, 2021. [7]  Y. Wu et al., “Google’s neural machine translation system: Bridging the gap between human and machine translation,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 12, pp. 1–15, 2016. [8]    Z. Huang, X. Li, and H. Zhang, “Chatbots in tourism: Enhancing customer experience through conversational AI,” Tourism Management Perspectives, vol. 45, p. 101050, 2023. [9]    U. Gretzel, M. Sigala, Z. Xiang, and C. Koo, “Smart tourism: Foundations and developments,” Tourism Management, vol. 50, pp. 179–188, 2020. [10]     G. Grillini, M. Forno, and P. Ghezzi, “How tourists change farms: The impact of agritourism on organic farming adoption and local community interaction,” Journal of Rural Studies, vol. 104, pp. 45–56, 2025.

Editorial & Review Transparency

Publication Date

6/24/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

5

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...