Ahar24: a modern restaurant food delivery management system
| dc.contributor.advisor | Mostakim, Moin | |
| dc.contributor.author | Iqbal, Syed Bayes | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| 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.description | Cataloged from the PDF version of the project report.. | |
| 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.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.degree | M.Sc. in Computer Science and Engineering | |
| dc.description.statementofresponsibility | Syed Bayes Iqbal | |
| dc.format.extent | 54 pages | |
| dc.identifier.other | ID 22273014 | |
| dc.identifier.uri | http://hdl.handle.net/10361/25401 | |
| 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 |