SwiftTrip: Your Smart Travel Companion for Effortless Planning and Memorable Journeys

  • R. Regin Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, India
  • S. Suman Rajest Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India
Keywords: Trip Planning, Databases or Apis, Smooth and Thrilling, Registered Email ID, Date Weather Forecast, Different Places, One-Stop Solution, Travel Planning

Abstract

This paper presents "SwiftTrip," an innovative tool designed to enhance travel planning by integrating location, activity, weather, and packing considerations. As travel becomes increasingly spontaneous, there is a need for comprehensive solutions that cater to dynamic travel environments. "SwiftTrip" addresses this gap by offering detailed vacation itineraries, weather forecasts, and customized packing lists. The system utilizes climate patterns to suggest optimal travel routes and weather-sensitive recommendations for attractions and activities. Advanced algorithms analyze meteorological data to generate personalized packing lists, ensuring travelers are prepared for varying weather conditions. By providing current and forecasted weather data, including temperature, precipitation, and wind speed, "SwiftTrip" aims to make travel planning more informed and enjoyable, ultimately enhancing the travel experience in a rapidly changing environment.

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D. K. Sharma, B. Singh, M. Anam, K. O. Villalba-Condori, A. K. Gupta, and G. K. Ali, “Slotting Learning Rate in Deep Neural Networks to Build Stronger Models,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021.

K. Kaliyaperumal, A. Rahim, D. K. Sharma, R. Regin, S. Vashisht, and K. Phasinam, “Rainfall Prediction Using Deep Mining Strategy for Detection,” in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021.

I. Nallathambi, R. Ramar, D. A. Pustokhin, I. V. Pustokhina, D. K. Sharma, and S. Sengan, “Prediction of Influencing Atmospheric Conditions for Explosion Avoidance in Fireworks Manufacturing Industry: A Network Approach,” Environmental Pollution, vol. 304, no. 119182, p. 119182, 2022.

H. Sharma and D. K. Sharma, “A Study of Trend Growth Rate of Confirmed Cases, Death Cases and Recovery Cases of COVID-19 in Union Territories of India,” Turkish Journal of Computer and Mathematics Education, vol. 13, no. 2, pp. 569–582, 2022.

A. L. Karn et al., “Designing a Deep Learning-Based Financial Decision Support System for Fintech to Support Corporate Customer’s Credit Extension,” Malaysian Journal of Computer Science, pp. 116–131, 2022.

A. L. Karn et al., “B-LSTM-NB Based Composite Sequence Learning Model for Detecting Fraudulent Financial Activities,” Malaysian Journal of Computer Science, pp. 30–49, 2022.

P. P. Dwivedi and D. K. Sharma, “Application of Shannon Entropy and CoCoSo Methods in Selection of the Most Appropriate Engineering Sustainability Components,” Cleaner Materials, vol. 5, no. 100118, p. 100118, 2022

A. Kumar, S. Singh, K. Srivastava, A. Sharma, and D. K. Sharma, “Performance and Stability Enhancement of Mixed Dimensional Bilayer Inverted Perovskite (BA2PbI4/MAPbI3) Solar Cell Using Drift-Diffusion Model,” Sustainable Chemistry and Pharmacy, vol. 29, no. 100807, p. 100807, 2022.

A. Kumar, S. Singh, M. K. A. Mohammed, and D. K. Sharma, “Accelerated Innovation in Developing High-Performance Metal Halide Perovskite Solar Cell Using Machine Learning,” International Journal of Modern Physics B, vol. 37, no. 24, 2023.

S. Singh, M. S. Rahman, and D. K. Sharma, “Nano-Biosensing: An Integrated Approach for Efficient Detection and Quantification of Biomolecules,” Biosensors and Bioelectronics, vol. 178, no. 113041, p. 113041, 2021.

S. Singh, A. Kumar, and D. K. Sharma, “Enabling Robust Quantum Encryption with Intelligent Key Management,” Entropy, vol. 24, no. 3, p. 368, 2022.

V. P. K. Kaluvakuri, “Power-Bi-Based Fleet Operation Management System: A Data-Driven Approach,” SSRN Electronic Journal, 2022.

V. P. K. Kaluvakuri and V. P. Peta, “A Novel Cloud-Based Predictive Fleet Management System,” SSRN Electronic Journal, 2022

Published
2024-09-13
How to Cite
R. Regin, & Rajest , S. S. (2024). SwiftTrip: Your Smart Travel Companion for Effortless Planning and Memorable Journeys. International Journal of Human Computing Studies, 6(3), 57-70. https://doi.org/10.31149/ijhcs.v6i3.5316