Online Food Ordering System in Train

Abstract The Online Food Ordering System for College Campuses is an Android-based application that allows students and faculty to conveniently order meals and snacks from various campus food outlets. This system addresses the issue of long queues and limited availability during peak hours by enabling users to place orders online and choose scheduled pickup or delivery options. Integrated with secure payment gateways and a real-time order tracking system, it enhances user convenience and operational efficiency. The project aims to streamline campus food services by digitalizing the ordering process and supporting both online payments and cash-on-delivery. Keywords: Food Ordering, Online Shopping, Train Food, Cash on Delivery, HTML, SQL

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-09
DOI
https://doi.org/10.55041/ijsrem47413
Citations
1
Primary Topic
Information Retrieval and Data Mining
Type
article
Field-Weighted Citation Impact
3.25
Controls
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article

Online Food Ordering System in Train

Ms. Pooja G
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Information Retrieval and Data Mining
3.25
article

Online Food Ordering System in Train

Ms. Pooja G
article en
1 citations

Abstract

Abstract The Online Food Ordering System for College Campuses is an Android-based application that allows students and faculty to conveniently order meals and snacks from various campus food outlets. This system addresses the issue of long queues and limited availability during peak hours by enabling users to place orders online and choose scheduled pickup or delivery options. Integrated with secure payment gateways and a real-time order tracking system, it enhances user convenience and operational efficiency. The project aims to streamline campus food services by digitalizing the ordering process and supporting both online payments and cash-on-delivery. Keywords: Food Ordering, Online Shopping, Train Food, Cash on Delivery, HTML, SQL

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 9%
Information Retrieval and Data Mining
3.25
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