Two Way Sign Language Detection and Communication System

The project focuses on developing an innovative travel website designed to enhance user experience through personalized travel plans and comprehensive budget management. The platform allows users to input their desired destination, trip duration, and estimated budget, generating a detailed day-by-day itinerary that covers activities, accommodations, dining, and travel suggestions between cities. Incorporating advanced algorithms like Dijkstra’s Algorithm for finding the shortest path between cities, Kalman Filters for improving GPS data accuracy and providing smoother route transitions, and the Knapsack Problem Algorithm for selecting the best combination of travel activities within budget constraints, the platform ensures efficiency and value. Users can choose from pre designed packages or customize every aspect of their travel plans. Real-time expense tracking enables accurate budget management, and the platform provides a clear summary of spending at the end of the trip. This project aims to offer a seamless, tailored travel planning experience, helping users create memorable trips while maintaining control over their budget.

Authors

Publication Details

Journal
International Research Journal on Advanced Engineering and Management (IRJAEM)
Published
2025-04-23
DOI
https://doi.org/10.47392/irjaem.2025.0217
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Two Way Sign Language Detection and Communication System

S. Sarumathi, Subrata Sahana, B Nandhika, L Preethika et al.
International Research Journal on Advanced Engineering and Management (IRJAEM)
Hand Gesture Recognition Systems
article

Two Way Sign Language Detection and Communication System

S. Sarumathi, Subrata Sahana, B Nandhika, L Preethika, P M Sanjeetha, D Nithya
article en

Abstract

The project focuses on developing an innovative travel website designed to enhance user experience through personalized travel plans and comprehensive budget management. The platform allows users to input their desired destination, trip duration, and estimated budget, generating a detailed day-by-day itinerary that covers activities, accommodations, dining, and travel suggestions between cities. Incorporating advanced algorithms like Dijkstra’s Algorithm for finding the shortest path between cities, Kalman Filters for improving GPS data accuracy and providing smoother route transitions, and the Knapsack Problem Algorithm for selecting the best combination of travel activities within budget constraints, the platform ensures efficiency and value. Users can choose from pre designed packages or customize every aspect of their travel plans. Real-time expense tracking enables accurate budget management, and the platform provides a clear summary of spending at the end of the trip. This project aims to offer a seamless, tailored travel planning experience, helping users create memorable trips while maintaining control over their budget.

International Research Journal on Advanced Engineering and Management (IRJAEM)Vol. 3(04)
Openalex Percentile: Top 92%
Hand Gesture Recognition Systems
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