HUNGRYGO A RESTAURANT SUGGESTION WEBSITE
Netra Naikele
School of Science,
G H Raisoni University, Amravati, India
netranaikele@gmail.com
Kanak Banpuriya
School of Science,
G H Raisoni University, Amravati, India
kanakbanpuriya@gmail.com
Khushi Bhagwatkar
School of Science,
G H Raisoni University, Amravati, India
Khushibagwatkar159@gmail.com
Ratandeep Bulbake
School of Science,
G H Raisoni University, Amravati, India
rbulbake3@gmail.com
HOD . Anupam Chaube Sir.
School of Science,
G H Raisoni University, Amravati, India
anupam.chaube@raisoni.net
Received on: 14 May ,2024 Revised on: 04 June ,2024 Published on: 27 June ,2024
Abstract : In today’s digital age, individuals rely heavily on online platforms for various needs, including discovering dining options. HungryGo emerges as a promising solution in this landscape, offering a restaurant suggestion website that provides personalized dining recommendations based on users’ preferences and location. Through the integration of sophisticated algorithms and user input, HungryGo promises a seamless and tailored experience for users seeking culinary options. This research paper delves into the design, implementation, and evaluation of HungryGo, meticulously detailing its features, performance, and potential impact on both the restaurant industry and user satisfaction. Through comprehensive analysis and evaluation, this paper aims to shed light on the efficacy and significance of HungryGo in revolutionizing the restaurant discovery process and enhancing user dining experiences.
Keywords – restaurant suggestion website, personalized dining recommendations, online platforms
DOI Link – https://doi.org/10.69758/LLST7081
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