Cited by 54Mobile and Web ApplicationsEngineering and Information TechnologyDecision Support System Applications

Online Food Ordering System

Open access
R., Adithya, Singh, Abhishek, Pathan, Salma, Kanade, Vaishnav·2017·International Journal of Computer Applications

Abstract

Our proposed system is an online food ordering system that enables ease for the customers. It overcomes the disadvantages of the traditional queueing system. Our proposed system is a medium to order online food hassle free from restaurants as well as mess service. This system improves the method of taking the order from customer. The online food ordering system sets up a food menu online and customers can easily place the order as per their wish. Also with a food menu, customers can easily track the orders. This system also provides a feedback system in which user can rate the food items. Also, the proposed system can recommend hotels, food, based on the ratings given by the user, the hotel staff will be informed for the improvements along with the quality. The payment can be made online or pay-on-delivery system. For more secured ordering separate accounts are maintained for each user by providing them an ID and a password.

AI snapshot

Written from the paper’s full text.

TL;DR

The paper proposes an Android-based online food ordering system that lets customers order from restaurants or mess/tiffin services, track orders, rate food, and pay online or on delivery. It describes intended features, user roles, and search options, but reports no implementation or evaluation results.

Key findings

  • The proposed system aims to replace queue-based ordering and serve both restaurants and mess services, with separate user accounts secured by login credentials.
  • Customers can search providers by GPS-detected location, price per plate, rating, or distance; a portion of a Geo-Hashing Algorithm is mentioned for location search.
  • It includes feedback and ratings, recommendations to providers, order tracking, messaging/notifications, and payment via online or pay-on-delivery/cash.
  • Initial scope is 10–12 restaurants and mess services across 2–3 areas, with three roles: consumer, restaurant/mess owner, and mess employee.

Methods

  • Design/proposal paper; no empirical study. It reviews nine prior works and then outlines an Android/IoT-based wireless ordering architecture.
  • No dataset, sample, implementation, or statistical analysis is reported. The only quantitative scope is the initial 10–12 restaurants/mess in 2–3 areas.
  • Main analysis is conceptual: objectives and architecture, including search modes and user/provider functions.

Limitations

  • The paper does not explicitly state limitations. Evident: no prototype, deployment, test results, or performance data are presented.
  • Evident: claims about security, usability, accuracy, reliability, and handling many orders are stated as objectives, not validated.
  • Evident: details on payment security, database design, algorithm implementation, and evaluation methods are absent.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.5120/ijca2017916046

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

    • Classified as probably not a substantial claim. 1
    • May combine two claims. 1
    • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

      Interpretationnone given

      A wide range of people can use the proposed system, provided they know how to operate an Android smartphone.

      “Scope of proposed system is justifiable because in large amount peoples are shifting to diff erent cities so wide range of people can make a use of proposed system.”
      • Also stated in: § 5. CONCLUSION · plain
        “Wide range of people can use this if they know how to operate android smart phone.”
      • Also stated in: § 5. CONCLUSION · plain
        “Scope of the proposed system is justifiable because in large amount peoples are shifting to different cities so wide range of people can make a use of proposed system.”
      Quote in the paperNot a substantial claim
      • Rests on an assumption: A large number of people are shifting to different cities.
    1 of 1
    • The paper relies on this without support.

      There is a lack of a full-fledged application that can fulfill customer requirements by providing food from restaurants as well as from mess service.

      “Due to lack of a full fledge application that can fulfill the customer requirements by providing him food from restaurants as well as from mess service, there is a need for the system.”
    • The paper relies on this without support.

      Most mess users are people who have shifted for various reasons to new cities.

      “Again, the idea comes that mostly mess users are person who are shifted for various reason in new cities.”
    • The paper relies on this without support.

      A large number of people are shifting to different cities.

      “Scope of proposed system is justifiable because in large amount peoples are shifting to diff erent cities so wide range of people can make a use of proposed system.”
      “Scope of the proposed system is justifiable because in large amount peoples are shifting to different cities so wide range of people can make a use of proposed system.”
    • The paper relies on this without support.

      The use of smartphones is increasing.

      “Increasing use of smart phones is also considered as a motivation, so that any users of this system get all service on single click.”
    • The paper relies on this without support.

      Android devices have gained immense popularity and have revolutionized the use of mobile technology in the automation of routine tasks in wireless environments.

      “Android devices have gained immense popularity and have revolutionized the use of mobile technology in the automation of routine task in wireless environment.”
    • The paper relies on this without support.

      When a person shifts to a new city, he or she must find a source for hygienic and quality food and will search and select a restaurant or home-based food service based on category and veg/non-veg preference.

      “When a person shifted to new city he has to find source for hygienic and quality food, so he/she will search and select restaurant or home-based food service based on his category and as well as service that is veg or non-veg.”
    6 of 6

    Cites

    Flagged first, then by citations

    2 of the 8 references couldn’t be matched to a known paper.

    Research works printed but not linked: 3

    1. [1]1. Kirti Bhandge, Tejas Shinde, Dheeraj Ingale, Neeraj Solanki, Reshma Totare,"A Proposed System for Touchpad Based Food Ordering System Using Android Application", International Journal of Advanced Research in Computer Science Technology (IJARCST 2015).
    2. [3]3. Resham Shinde, Priyanka Thakare, Neha Dhomne, Sushmita Sarkar, "Design and Implementation of Digital dining in Restaurants using Android", International Journal of Advance Research in Computer Science and Management Studies 2014.
    3. [5]5. Khairunnisa K., Ayob J., Mohd. Helmy A. Wahab, M. Erdi Ayob, M. Izwan Ayob, M. Afif Ayob, "The Application of Wireless Food Ordering System" MASAUM Journal of Computing 2009.

    Cited by

    Sorted by citations

    Authors
    R., A., Singh, A., Pathan, S., & Kanade, V.
    Venue
    International Journal of Computer Applications
    Published
    2017-12-15
    Volume
    180
    Issue
    6
    Pages
    22-24
    ISSN
    0975-8887 (ISSN-L)
    OpenAlex
    W2775169531
    Cited by
    54
    References
    8
    Citations by year
    2026: 2 · 2025: 6 · 2024: 9 · 2023: 12 · 2022: 12 · 2021: 3 · 2020: 8 · 2019: 2
    FWCI
    5.09
    Type
    journal article
    Language
    en
    Open access
    Locations
    International Journal of Computer Applications (publishedVersion)
    Topics
    • Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
    • Physical Sciences › Computer Science › Software › Engineering and Information Technology
    • Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
    Keywords
    online food ordering, food delivery, order tracking, user feedback, recommender systems, online payment, user authentication, queueing systems

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    Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

    Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.

    Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.

    Statistics and arithmetic are recomputed, not judged.

    Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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