STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Web Engineering & Technology Review Article

Tomato Food Delivery

  1. Swati Andhale Master of Computer Application, Parvatibai Genba Moze College of Engineering Wagholi, Pune

Abstract

Tomato food delivery systems face numerous challenges, such as duplicate documents, lack of security, and insufficient transparency. This paper proposes a solution using the MERN (MongoDB, Express.js, React, Node.js) stack to address these issues by creating an electronic public administration system that ensures secure, transparent, and efficient record-keeping. Leveraging MongoDB, the proposed system, automates the maintenance of records and registration documents, utilizing a consensus-based contract for streamlined loan settlement processes with KYC (Know Your Customer) verification. The system enhances security through multi-level authentication and schema management, allowing fast and secure verification for all stakeholders. Details of sellers and buyers are hashed using time-limited tokens to prevent fraud and ensure document authenticity. Python, in conjunction with the MERN stack, plays a crucial role in solving stability issues and supports the creation of a more reliable e-government framework. This proposed machine provides an automated approach to managing food delivery documents, offering a smart settlement process based on compliance and KYC verification. This ensures transparency and accuracy in calculating credit amounts based on salary terms, replacing the manual, error-prone methods currently in use. By deploying this system, we intend to establish a secure, immutable, and transparent environment for managing food delivery.

Keywords

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