Vol. 5 No. 1 (2026): January
RESEARCH ARTICLES

Leveraging AI and Location-Based Services for Smart Tourism: The TripWise Mobile Application

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  • R K Jeyauthmigha,
  • Suchill,
  • Sankeerana,
  • Livin,
  • Ram Rakshitha
R K Jeyauthmigha
Department of Computer Science and Design, SNS College of Technology, Coimbatore, Tamil Nadu, India.
Suchill
Department of Computer Science and Design, SNS College of Engineering, Coimbatore-641107, India
Sankeerana
Department of Computer Science and Design, SNS College of Engineering, Coimbatore-641107, India
Livin
Department of Computer Science and Design, SNS College of Engineering, Coimbatore-641107, India
Ram Rakshitha
Department of Computer Science and Design, SNS College of Engineering, Coimbatore-641107, India
DOI: https://doi.org/10.5281/zenodo.18160250

Published 2026-01-06

Keywords

  • Smart Travel App,
  • Trip Planning,
  • Artificial Intelligence,
  • Cloud Computing,
  • Route Optimization,
  • Tourism Technology,
  • Real-time Data,
  • Mobile Application
    • ...More
    Less

How to Cite

R K Jeyauthmigha, Suchill, Sankeerana, Livin, & Ram Rakshitha. (2026). Leveraging AI and Location-Based Services for Smart Tourism: The TripWise Mobile Application. International Journal of Computational Learning & Intelligence, 5(1), 955–962. https://doi.org/10.5281/zenodo.18160250

Copyright (c) 2025 R K Jeyauthmigha, Suchill, Sankeerana, Livin, Ram Rakshitha

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

In the modern digital era, technology has transformed the way people travel, explore and manage their journeys. With the increasing use of smartphones, travelers seek applications that can simplify planning, budgeting, and navigating trips. The TripWise App is an innovative mobile application designed to provide travelers with an intelligent, all-in-one travel companion. It integrates features such as automated itinerary creation, route optimization, expense estimation, weather forecasting, and personalized recommendations. The application leverages Artificial Intelligence (AI), cloud computing, and location-based services (LBS) to provide accurate, data-driven travel insights. This paper discusses the conceptualization, design methodology, implementation, and performance evaluation of the TripWise App. The results demonstrate that the system offers high accuracy, efficiency, and user satisfaction, making it a valuable contribution to the domain of smart travel and tourism.

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References

  1. Gayathri, R., Sheela Sobana Rani, K., & Aravindhan, K. (2024). Classification of Speech Signal Using CNN-LSTM. Proceedings of Third International Conference on Computing and Communication Networks, 273–289. https://doi.org/10.1007/978-981-97-2671-4_21.
  2. Jadon, R., Budda, R., Gollapalli, V. S. T., Chauhan, G. S., Srinivasan, K., & Kurunthachalam, A. (2025). Grasp Pose Detection and Feature Extraction Using FHK-GPD and Global Average Pooling in Robotic Pick-and-Place Systems. 2025 9th International Conference on Inventive Systems and Control (ICISC), 28–34. https://doi.org/10.1109/icisc65841.2025.11188246.
  3. Jadon, R., Budda, R., Gollapalli, V. S. T., Singh Chauhan, G., Srinivasan, K., & Kurunthachalam, A. (2025). Innovative Cloud-Based E-Commerce Fraud Prevention Using GAN-FS, Fuzzy-Rough Clustering, Smart Contracts, and Game-Theoretic Models. 2025 International Conference on Computing Technologies &Amp; Data Communication (ICCTDC), 1–6. https://doi.org/10.1109/icctdc64446.2025.11158048.
  4. Optimizing Task Offloading in Vehicular Network (OTO): A Game Theory Approach Integrating Hybrid Edge and Cloud Computing. (2025). Journal of Cybersecurity and Information Management, 15(1). https://doi.org/10.54216/jcim.150110.
  5. Pressman, R. S., & Maxim, B. R. (2020). Software engineering: A practitioner’s approach (9th ed.). McGraw-Hill.
  6. Rao, V. V., Jagathpally, A., Pulakhandam, W., Shahwar, T., & Kurunthachalam, A. (2025). A Vision Transformers Approach for Surgical Monitoring with Algorithmic Framework and Experimental Evaluation. 2025 International Conference on Biomedical Engineering and Sustainable Healthcare (ICBMESH), 1–6. https://doi.org/10.1109/icbmesh66209.2025.11182237.
  7. Turban, E., & King, D. (2018). Introduction to information systems: Supporting and transforming business. Wiley.
  8. Valivarthi, D. T., Kethu, S. S., Natarajan, D. R., Narla, S., Peddi, S., & Kurunthachalam, A. (2025). Enhanced Medical Anomaly Detection Using Particle Swarm Optimization-based Hybrid MLP-LSTM Model. International Journal of Pattern Recognition and Artificial Intelligence. https://doi.org/10.1142/s0218001425570228.
  9. Vallu, V. R., Pulakhandam, W., & Kurunthachalam, A. (2025). Revolutionizing Mobile Cloud Security: Employing Secure Multi-Party Computation and Blockchain Innovations for E-Commerce Platforms. 2025 International Conference on Artificial Intelligence and Emerging Technologies (ICAIET), 1–6. https://doi.org/10.1109/icaiet65052.2025.11211015.
  10. Vallu, V. R., Pulakhandam, W., Jagathpally, A., Shahwar, T., & Kurunthachalam, A. (2025). Object Recognition and Collision Avoidance in Robotic Systems Using YOLO and HS-CLAHE Techniques. 2025 5th International Conference on Intelligent Technologies (CONIT), 1–6. https://doi.org/10.1109/conit65521.2025.11166833.
  11. Vallu, V. R., Pulakhandam, W., Kurunthachalam, A., & Hugar, S. (2025). PR-MICA and SGELNN: A Unified Framework for Feature Extraction in Graph Learning. 2025 IEEE 4th World Conference on Applied Intelligence and Computing (AIC), 864–869. https://doi.org/10.1109/aic66080.2025.11211928.
  12. Ahmed, S. T., Kumar, V. V., Singh, K. K., Singh, A., Muthukumaran, V., & Gupta, D. (2022). 6G enabled federated learning for secure IoMT resource recommendation and propagation analysis. Computers and Electrical Engineering, 102, 108210.
  13. Ahmed, S. T., Kumar, V. V., & Kim, J. (2023). AITel: eHealth augmented-intelligence-based telemedicine resource recommendation framework for IoT devices in smart cities. IEEE Internet of Things Journal, 10(21), 18461-18468.
  14. Pasha, A., Ahmed, S. T., Painam, R. K., Mathivanan, S. K., Mallik, S., & Qin, H. (2024). Leveraging ANFIS with Adam and PSO optimizers for Parkinson's disease. Heliyon, 10(9).
  15. Muthukumaran, V., Vasudevan, S., & Siddiqha, S. A. (2023). Secure Public Key Cryptosystem for in Smart City using Algebraic Structure. International Journal of Human Computations & Intelligence, 2(1), 20-25.
  16. Kumar, A., Satheesha, T. Y., Salvador, B. B. L., Mithileysh, S., & Ahmed, S. T. (2023). Augmented Intelligence enabled Deep Neural Networking (AuDNN) framework for skin cancer classification and prediction using multi-dimensional datasets on industrial IoT standards. Microprocessors and Microsystems, 97, 104755.