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Abstract
Information
Inventors
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Specification
Documents
ORDINARY APPLICATION
Published
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 ID | 202441088563 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 15/11/2024 |
Publication Number | 47/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr.T.R.LEKHAA, SNS College of Engineering, Coimbatore | Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
Ms.N.RAMYA DEVI, SNS College of Engineering, Coimbatore | Research Scholar & Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
Ms.V.VAISHNAVEE, SNS College of Engineering, Coimbatore | Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
Ms.SARANYADEVI, SNS College of Engineering, Coimbatore | Assistant Professor, Department of Electronics and communication Engineering, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
Ms.K.REVATHI, SNS College of Engineering, Coimbatore | Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
B.RIDHA MARVA, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
M.KOTTAISAMY, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
K.SANDHOSH KUMAR, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
R CIBIRAJ, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
KOLAA PRAVIN, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Dr.T.R.LEKHAA, SNS College of Engineering, Coimbatore | Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
Ms.N.RAMYA DEVI, SNS College of Engineering, Coimbatore | Research Scholar & Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
Ms.V.VAISHNAVEE, SNS College of Engineering, Coimbatore | Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
Ms.SARANYADEVI, SNS College of Engineering, Coimbatore | Assistant Professor, Department of Electronics and communication Engineering, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
Ms.K.REVATHI, SNS College of Engineering, Coimbatore | Assistant Professor, Department of Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalayam, Coimbatore– 641107, Tamil Nadu, India | India | India |
B.RIDHA MARVA, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
M.KOTTAISAMY, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
K.SANDHOSH KUMAR, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
R CIBIRAJ, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
KOLAA PRAVIN, SNS College of Engineering, Coimbatore | Student, IV Year, Information Technology, SNS College of Engineering, SNS Kalvi Nagar, Sathy Main Road, Kurumbapalaiyam, Coimbatore – 641107, Tamil Nadu, India | India | India |
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
Name | Date |
---|---|
202441088563-COMPLETE SPECIFICATION [15-11-2024(online)].pdf | 15/11/2024 |
202441088563-DECLARATION OF INVENTORSHIP (FORM 5) [15-11-2024(online)].pdf | 15/11/2024 |
202441088563-DRAWINGS [15-11-2024(online)].pdf | 15/11/2024 |
202441088563-FORM 1 [15-11-2024(online)].pdf | 15/11/2024 |
202441088563-FORM-9 [15-11-2024(online)].pdf | 15/11/2024 |
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