International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
E-ISSN: 2349-7300Impact Factor - 9.907

A Widely Indexed Open Access Peer Reviewed Online Scholarly International Journal

Call for Paper Volume 12 Issue 6 November-December 2024 Submit your research for publication

Mealmate: A Revolutionary Tiffin Service Platform Powered by Machine Learning

Authors: Sarthak Boraste, Chaitanya Walture, Bhargav Sonar, Harshad Neve, Shital Bedse

Country: India

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Abstract: Mealmate revolutionizes the tiffin service industry by integrating cutting-edge technologies such as Django, Bootstrap, and SQLite. This web application, powered by machine learning and artificial intelligence, offers a seamless and user-friendly experience. Customers can customize their orders, receive intelligent reorder recommendations, and provide feedback through sentiment analysis. The platform caters to those seeking affordable, top-tier, and hygienic meals, particularly beneficial for individuals away from home due to work-related relocations. Mealmate use of technology extends to a centralized hub for tiffin providers, facilitating growth opportunities and efficient event catering. With a comprehensive menu, flexible payment options, and professional chef oversight, Mealmate represents a modernized approach to the tiffin service industry, emphasizing convenience, personalization, and growth through technology.

Keywords: Bootstrap, Django, Machine Learning, Mealmate, SQLite


Paper Id: 230480

Published On: 2024-02-19

Published In: Volume 12, Issue 1, January-February 2024

Cite This: Mealmate: A Revolutionary Tiffin Service Platform Powered by Machine Learning - Sarthak Boraste, Chaitanya Walture, Bhargav Sonar, Harshad Neve, Shital Bedse - IJIRMPS Volume 12, Issue 1, January-February 2024.

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