Paper Title

BIO-FUEL BOOKING SYSTEM USING MACHINE LEARNING

Authors

Mr. Dhiraj Mondkar , Ms. Yukta Gajare , Ms. Pooja Tile , Ms. Bhakti Parkhe , Prof. M. T. Jagtap

Keywords

PHP , Laravel , Mysql , Bootstarp

Abstract

The mobile devices are becoming more and more popular and are providing a new notion of communication that only once could imagine. With respect to CNG Cars, one of the major problems faced by the lakhs of people, who use CNG Car is standing in the long queues for an average of 40-45 minutes to fill the Gas. This often leads to people not buying the CNG cars. A transport department official said, “Fluctuations in manufacturing of factory-made CNG car models are a probable reason and long queues at CNG gas stations also act as a deterrent for many buyers.” This project aims to find a remedy for these lakhs of people by using an online application to book appointment on their mobile phone and feedback system for analysing user experience with different pumps regarding service and safety. Customers provide feedback in quantitative ratings and qualitative comments related to service and safety. Analysing and evaluating this qualitative data helps us to make better sense of customer feedback on service. This paper focus on providing qualitative and quantitative feedback to analyse and provide better service.

How To Cite

"BIO-FUEL BOOKING SYSTEM USING MACHINE LEARNING", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.489 - 491, May-2022, Available :https://ijsdr.org/papers/IJSDR2205095.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 489 - 491

Other Publication Details

Paper Reg. ID: IJSDR_200471

Published Paper Id: IJSDR2205095

Downloads: 000347176

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2205095

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2205095

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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