dc.contributor.advisor | Mostakim, Moin | |
dc.contributor.author | Iqbal, Syed Bayes | |
dc.date.accessioned | 2025-02-16T09:19:49Z | |
dc.date.available | 2025-02-16T09:19:49Z | |
dc.date.copyright | 2024 | |
dc.date.issued | 2024-11 | |
dc.identifier.other | ID 22273014 | |
dc.identifier.uri | http://hdl.handle.net/10361/25401 | |
dc.description | This project report is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2024. | en_US |
dc.description | Cataloged from the PDF version of the project report.. | |
dc.description.abstract | The rapid digital transformation has significantly impacted the food and restaurant
industry, leading to the emergence of online food delivery systems. This research
presents the development of Ahar24: A Modern Restaurant Food Delivery Management
System, a comprehensive platform designed to streamline food delivery operations
and enhance user experience. The system integrates advanced features such
as personalized food recommendations powered by AI, a smart menu search with
natural language understanding, dynamic pricing and discounts, and real-time order
prediction and optimization. These features cater to both customers and administrators,
ensuring seamless interactions, efficient order management, and data-driven
decision-making.
For customers, the platform offers a user-friendly interface for browsing menus,
placing orders, and accessing tailored food suggestions based on preferences and
past behavior. Administrators benefit from robust management tools, including
insights into customer behavior, trending items, and demand forecasting. The system
is implemented using cutting-edge technologies such as React.js, Node.js, and
MongoDB, ensuring scalability and efficiency. While still under development and
testing, Ahar24 demonstrates the potential to redefine modern restaurant operations
and food delivery services by incorporating innovation, user-centric design,
and advanced analytics. | en_US |
dc.description.statementofresponsibility | Syed Bayes Iqbal | |
dc.format.extent | 54 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.rights | BRAC University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | Food delivery management system | en_US |
dc.subject | AI-powered recommendations | en_US |
dc.subject | Smart menu search | en_US |
dc.subject | Dynamic pricing | en_US |
dc.subject | Order optimization | en_US |
dc.subject.lcsh | Mobile applications. | |
dc.subject.lcsh | Online food ordering. | |
dc.subject.lcsh | Artificial intelligence. | |
dc.title | Ahar24: a modern restaurant food delivery management
system | en_US |
dc.type | Project report | en_US |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.description.degree | M.Sc. in Computer Science and Engineering | |