UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 1
January-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2201050


Registration ID:
318576

Page Number

a374-a379

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Title

Restaura: Restaurant Analytics with Model Solutions

Abstract

With the advent of apps like google maps, Zomato, Swiggy, etc., it is possible to book tables and order food from our favorite restaurants with the click of a button. We can also rate and voice our opinions about restaurants through reviews on these platforms (google reviews, Zomato, Swiggy, etc.). These apps manage and handle a lot of restaurants and user data. Fortunately, apps like Swiggy and Zomato have made certain sections of their data public so that interested individuals and groups can analyze them. We have used this data to predict the success of a new restaurant and provide a real-time restaurant rating system. This paper focuses on providing a success probability of a new restaurant. This is accomplished by using a machine learning model which is trained on past restaurant data. It considers the location of the restaurant, competition in the area, delivery options, and many other factors for predicting the success rate. The paper also focuses on providing a real-time leaderboard system for top-performing restaurants in Bangalore. The leaderboard also provides the current performance of these restaurants based on ratings and reviews collected and consolidated bi-weekly. The main goal of this paper is to gather and analyze restaurant data to provide value to aspiring entrepreneurs and passionate foodies.

Key Words

Weighted Rating, Visualisation, LightGBM, Success Percentage

Cite This Article

"Restaura: Restaurant Analytics with Model Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.a374-a379, January-2022, Available :http://www.jetir.org/papers/JETIR2201050.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Restaura: Restaurant Analytics with Model Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppa374-a379, January-2022, Available at : http://www.jetir.org/papers/JETIR2201050.pdf

Publication Details

Published Paper ID: JETIR2201050
Registration ID: 318576
Published In: Volume 9 | Issue 1 | Year January-2022
DOI (Digital Object Identifier):
Page No: a374-a379
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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