Rupali Beauty Point
Rupali Beauty Point was built for a sixth-semester e-commerce practical. Yumesh Ban and Rupesh Acharya chose a beauty-product storefront as their shared project, using it to practise a full MERN customer-to-admin commerce flow rather than stopping at a static product catalogue.
Role
Full-stack Developer
Association
Tribhuvan University
01
The context
The problem, people, and outcome in view.
Rupali Beauty Point was built for a sixth-semester e-commerce practical. Yumesh Ban and Rupesh Acharya chose a beauty-product storefront as their shared project, using it to practise a full MERN customer-to-admin commerce flow rather than stopping at a static product catalogue.
The project includes customer/admin access, product and category management, image upload, cart persistence, checkout/order creation, and MongoDB-backed API workflows. It is an academic implementation, not a deployed commercial store; payment, delivery tracking, and production-operation claims must remain out of the case study.
02
The contribution
A clear view of what I owned.
Full-stack Developer
Responsibilities
Showing 10 of 18- Vite/React frontend with customer and admin contexts
- routing
- product pages
- cart
- checkout
- and an administration surface.
- Node.js/Express backend with MongoDB/Mongoose data models and REST-style route/controller layers.
- JWT-protected customer and admin flows.
- Product/category CRUD
- stock fields
Capabilities applied
03
The work
From decisions to the working product.
Process
Rupali Beauty Point was built for a sixth-semester e-commerce practical. Yumesh Ban and Rupesh Acharya chose a beauty-product storefront as their shared project, using it to practise a full MERN customer-to-admin commerce flow rather than stopping at a static product catalogue.
The project includes customer/admin access, product and category management, image upload, cart persistence, checkout/order creation, and MongoDB-backed API workflows. It is an academic implementation, not a deployed commercial store; payment, delivery tracking, and production-operation claims must remain out of the case study.
Solution
Vite/React frontend with customer and admin contexts, routing, product pages, cart, checkout, and an administration surface. Node.js/Express backend with MongoDB/Mongoose data models and REST-style route/controller layers. JWT-protected customer and admin flows. Product/category CRUD, stock fields, image upload handling, and Cloudinary-ready media integration. Cart quantity, total, order, and product reference logic in MongoDB. Order creation and payment-request preparation, including delivery charge calculation.
04
The result
Proof over promises.
The project was built for an academic practical and is repository-only. Do not claim commercial deployment, live payment success, delivery tracking, sales, or client adoption.
05
Build notes
The tools and details that carried it through.
Technology
Showing 10 of 12Selected product details
- Vite/React frontend with customer and admin contexts, routing, product pages, cart, checkout, and an administration surface.
- Node.js/Express backend with MongoDB/Mongoose data models and REST-style route/controller layers.
- JWT-protected customer and admin flows.
- Product/category CRUD, stock fields, image upload handling, and Cloudinary-ready media integration.
- Cart quantity, total, order, and product reference logic in MongoDB.
- Order creation and payment-request preparation, including delivery charge calculation.
Explore further
06
Connected work
Proof and writing from this project.
Project proof
Showing 5 of 12Frontend / React
Rupali Beauty Point: React frontend engineering
Built customer and admin React views for the shared Rupali Beauty Point e-commerce project with Rupesh Acharya. Component-based screens and context-driven state supported browsing, cart, and administration journeys.
Tools / Vite
Rupali Beauty Point: Vite development workflow
Used Vite to run and bundle the React frontend during development of the academic e-commerce project. Its fast local feedback loop supported iterative work on customer and admin screens.
Backend / Express.js
Rupali Beauty Point: Express API development
Built Express route and controller layers for authentication, products, categories, carts, and orders. The API structure separated request handling from application logic for the MERN project.
Database / MongoDB & Mongoose
Rupali Beauty Point: MongoDB data modelling
Modelled users, products, categories, carts, and orders with MongoDB and Mongoose. These collections supported the customer journey and the application’s administration features.
Backend / Authentication & Authorization
Rupali Beauty Point: JWT authentication
Protected customer and admin routes through bearer-token verification in the MERN application. The access rules kept administrative actions separate from ordinary customer journeys.
Works / 08 of 08