FreshBloom

Authors

  • Pinniboina Mounika Assistant Professor, Department of Computer Science and Engineering, SRK Institute of Technology, vijayawada, India Author
  • Kolluri Honey Students, Department of Computer Science andEngineering, SRK Institute of Technology, vijayawada, India Author
  • Kottubadi Vennela Students, Department of Computer Science andEngineering, SRK Institute of Technology, vijayawada, India Author
  • V.V.G.Prasanthi Students, Department of Computer Science andEngineering, SRK Institute of Technology, vijayawada, India Author

DOI:

https://doi.org/10.47392/IRJAEM.2026.0067

Keywords:

Fresh Bloom, Online Grocery, Marketplace, MEAN Stack, Role-Based Authentication, Location-Based Services, E-Commerce System

Abstract

The growing demand for localized and efficient digital commerce has accelerated the need for platforms that connect consumers directly with nearby vendors. This paper presents Fresh Bloom, an online grocery marketplace system developed using the MEAN stack  (MongoDB, Express.js, Angular, and Node.js) to facilitate the purchase of vegetables, fruits, and flowers from local sellers. The system incorporates secure role-based authentication with separate interfaces for buyers and sellers to ensure controlled access and data privacy. Buyers can browse categorized products, apply search and filtering mechanisms, manage shopping carts, place orders, and choose between online payment and cash-on-delivery options. Location-based seller identification supports faster delivery while promoting local businesses. Sellers are provided with tools for inventory management, order processing, and sales analysis. A ratings and feedback module enhances transparency and trust. Additionally, real-time notifications through SMS, WhatsApp, and email improve communication efficiency. The proposed system offers a scalable, secure, and user-centric solution that enhances accessibility, transparency, and efficiency in local grocery commerce while supporting the digital transformation of small-scale vendors.

Downloads

Download data is not yet available.

Downloads

Published

2026-03-19