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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 4 | Month- April 2026

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

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  Published Paper Details:

  Paper Title

SMART DINING EXPERIENCE: AN ANDROID-BASED INTELLIGENT RESTAURANT MANAGEMENT SYSTEM BASED ON USER BEHAVIOR ANALYSIS AND HYBRID RECOMMENDATIONS

  Authors

  Mrs. S. AHAMED JOHNSHA ALI,  Mr. M. V. DHARANESAN

  Keywords

Smart Dining Experience, Restaurant Automation, Android Application, Digital Menu, Food Recommendation System, SQLite, Mobile Payment

  Abstract


The rapid growth of mobile technologies and the increasing demand for contactless, efficient, and personalized services have significantly transformed the hospitality industry. Traditional restaurant management systems rely heavily on manual processes such as printed menus, verbal order taking, and counter-based billing, which often lead to inefficiencies, longer waiting times, human errors, and limited customer engagement. This paper proposes a Smart Dining Experience System, an Android-based intelligent restaurant management application designed to automate menu management, order processing, billing, and customer interaction. Developed using Android Studio, the system employs Java and XML for front-end development and SQLite for backend data management. Restaurant administrators can dynamically manage digital menus, while customers can browse food items, place orders, track preparation time, receive personalized food recommendations, and make digital payments using smart phones. A frequency-based recommendation algorithm analyzes customer order history to enhance personalization. Experimental evaluation indicates reduced service time, improved order accuracy, and increased customer satisfaction. The study demonstrates that mobile-based smart dining solutions can effectively modernize restaurant operations and enhance overall service quality.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTBT02012

  Paper ID - 305895

  Page Number(s) - 57-60

  Pubished in - Volume 14 | Issue 4 | April 2026

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mrs. S. AHAMED JOHNSHA ALI,  Mr. M. V. DHARANESAN,   "SMART DINING EXPERIENCE: AN ANDROID-BASED INTELLIGENT RESTAURANT MANAGEMENT SYSTEM BASED ON USER BEHAVIOR ANALYSIS AND HYBRID RECOMMENDATIONS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 4, pp.57-60, April 2026, Available at :http://www.ijcrt.org/papers/IJCRTBT02012.pdf

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Call For Paper April 2026
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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