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Food Application

EasyChair Preprint no. 12769

6 pagesDate: March 27, 2024


The Food Delivery App project is an innovative mobile .in used in the application is tailored to resonate with a application designed to facilitate the seamless ordering and delivery of food from a wide array of restaurants. This application aims to provide a user-friendly platform for both customers and restaurant owners to engage in efficient food delivery services. The project employs a combination of cutting-edge technologies, including React Native with Expo for the front end, Python with Flask for the backend, MySQL for the database, and Firebase for image storage. For end-users, the app offers a comprehensive range of functionalities. Users can create accounts, enabling them to log in and sign up effortlessly. They can then select their city, peruse available restaurants, and choose from an extensive menu of delectable food items. The ordering process is streamlined to ensure a hassle-free experience. Additionally, users have the ability to track their orders in real-time, view their order history, and manage their profiles. Restaurant users, on the other hand, have their own set of specialized features. They are provided with a secure login system and the option to register their restaurants within the application. This allows them to effortlessly add, delete, and update the food items available in their establishments. The interface is designed for utmost convenience, ensuring that restaurant owners can manage their offerings with ease. Moreover, restaurant users can track the status of their orders and update customers on progress, from cooking to packing, and ultimately, delivery. .

Keyphrases: database, Firebase, Flask, MySQL, React Native, user-centric design

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Manikonda Sai Rathna and Manikayala Sai and Phanithapu Praveen Gopal and Bollu Nithin Chowdary},
  title = {Food Application},
  howpublished = {EasyChair Preprint no. 12769},

  year = {EasyChair, 2024}}
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