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Tourist master web application with chatbot

ORDINARY APPLICATION

Published

date

Filed on 15 November 2024

Abstract

This project introduces an innovative travel booking platform designed to transform the process of planning and booking trips. By utilizing predictive analytics, this platform forecasts pricing trends for flights, hotels, and rentals, guiding users to the best times to book. Equipped with machine learning algorithms, the platform offers personalized recommendations that match each user’s preferences, ensuring an intuitive and costeffective travel experience. The ultimate goal is to make travel planning easier and more rewarding by offering users data-driven insights and tailored suggestions.

Patent Information

Application ID202441088563
Invention FieldCOMPUTER SCIENCE
Date of Application15/11/2024
Publication Number47/2024

Inventors

NameAddressCountryNationality
Dr.T.R.LEKHAA, SNS College of Engineering, CoimbatoreAssistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
Ms.N.RAMYA DEVI, SNS College of Engineering, CoimbatoreResearch Scholar & Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
Ms.V.VAISHNAVEE, SNS College of Engineering, CoimbatoreAssistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
Ms.SARANYADEVI, SNS College of Engineering, CoimbatoreAssistant Professor, Department of Electronics and communication Engineering, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
Ms.K.REVATHI, SNS College of Engineering, CoimbatoreAssistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
B.RIDHA MARVA, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia
M.KOTTAISAMY, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia
K.SANDHOSH KUMAR, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia
R CIBIRAJ, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia
KOLAA PRAVIN, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia

Applicants

NameAddressCountryNationality
Dr.T.R.LEKHAA, SNS College of Engineering, CoimbatoreAssistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
Ms.N.RAMYA DEVI, SNS College of Engineering, CoimbatoreResearch Scholar & Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
Ms.V.VAISHNAVEE, SNS College of Engineering, CoimbatoreAssistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
Ms.SARANYADEVI, SNS College of Engineering, CoimbatoreAssistant Professor, Department of Electronics and communication Engineering, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
Ms.K.REVATHI, SNS College of Engineering, CoimbatoreAssistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, IndiaIndiaIndia
B.RIDHA MARVA, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia
M.KOTTAISAMY, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia
K.SANDHOSH KUMAR, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia
R CIBIRAJ, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia
KOLAA PRAVIN, SNS College of Engineering, CoimbatoreStudent, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, IndiaIndiaIndia

Specification

Description:This project introduces an innovative travel booking platform designed to transform the process of planning and booking trips. By utilizing predictive analytics, this platform forecasts pricing trends for flights, hotels, and rentals, guiding users to the best times to book. Equipped with machine learning algorithms, the platform offers personalized recommendations that match each user's preferences, ensuring an intuitive and costeffective travel experience. The ultimate goal is to make travel planning easier and more rewarding by offering users data-driven insights and tailored suggestions. , C , Claims:The implementation of predictive analytics in travel booking is projected to reduce booking costs and enhance user satisfaction by providing personalized recommendations and real-time alerts. By optimizing the booking process, users can secure better deals and make informed decisions, while the platform gains a competitive advantage by offering
superior travel planning experience

Documents

NameDate
202441088563-COMPLETE SPECIFICATION [15-11-2024(online)].pdf15/11/2024
202441088563-DECLARATION OF INVENTORSHIP (FORM 5) [15-11-2024(online)].pdf15/11/2024
202441088563-DRAWINGS [15-11-2024(online)].pdf15/11/2024
202441088563-FORM 1 [15-11-2024(online)].pdf15/11/2024
202441088563-FORM-9 [15-11-2024(online)].pdf15/11/2024

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