Internet of Things and Machine Learning Assisted Automated Feedback System for Hospitality Industry
| dc.contributor.guide | Gehlot, Anita | |
| dc.coverage.spatial | Feedback System for Hospitality Industry | |
| dc.creator.researcher | Ramnarayan | |
| dc.date.accessioned | 2025-06-09T05:09:16Z | |
| dc.date.available | 2025-06-09T05:09:16Z | |
| dc.date.awarded | 2025 | |
| dc.date.completed | 2025 | |
| dc.date.registered | 2022 | |
| dc.description.abstract | Digitalization enables the realization of the resilient infrastructure in every application for achieving sustainability. In the context of the hospitality business, resilient infrastructure based on digital technologies is critical for gaining the best customer feedback on providing quality service. Digital technology has already proved to enhance hospitality services with intelligent decisions through real-time data. In this research studies, the significance of digital technologies in the hotel sector has been extended in numerous theoretical and empirical studies, yet there is a lack of research that provides a discussion on feedback systems in hospitality with digital technologies applications. The hospitality industry primarily concentrates on providing customer service in the travel, hotel, and lodging sectors. With the motivation from the above aspects, this research intends to present the importance and application of the Internet of Things (IoT), artificial intelligence (AI), cloud computing, and big data implementation in customer quality and satisfaction. Moreover, we have discussed each technology´s significance and application for realizing digital-based customer quality and satisfaction. According to the findings of this study, AI and personnel quality of service have an impact on customer pleasure and loyalty In this research we are developing the real time feedback system as edge device that can be deployed on the different hospitality industry to improve the hospitality services for the customer that is backbone of the hotel hospitality industry. The research also concludes with the following recommendations, such as the design and development of dedicated hardware to gain the actual feedback from the customer on a large scale for improving the accuracy in the future. newline | |
| dc.description.note | The main focus of the thesis is to design and develop the automated feedback system for the customer to improve the future customer services. This is also focused on hardware and software novelty | |
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | xiv;128 | |
| dc.identifier.researcherid | 0000-0002-5358-2708 | |
| dc.identifier.uri | http://hdl.handle.net/10603/644785 | |
| dc.language | English | |
| dc.publisher.institution | Faculty of Uttaranchal Institute of Technology - Computer Science Engineering | |
| dc.publisher.place | Dehradun | |
| dc.publisher.university | Uttaranchal University | |
| dc.relation | APA | |
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Artificial intelligence | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Artificial Intelligence | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Hospitality industry | |
| dc.subject.keyword | Internet of things | |
| dc.subject.keyword | Machine learning | |
| dc.title | Internet of Things and Machine Learning Assisted Automated Feedback System for Hospitality Industry | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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