Nancy is a robust Learning Management System (LMS) designed to enhance your learning experience through the integration of cutting-edge technologies. Leveraging Mediapipe, computer vision, and artificial intelligence powered by OpenAI, this system goes beyond traditional approaches to offer a more interactive and personalized learning journey.
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Computer Vision: Utilize advanced computer vision techniques to create a visually immersive learning environment, making complex concepts more accessible.
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Personalized Learning: Benefit from AI algorithms that analyze user interactions and adapt content delivery, ensuring a customized learning path for each user based on his or her emotional interaction with the content.
MERN stands for MongoDB, Express, React, Node, after the four key technologies that make up the stack.
- MongoDB - document database
- Express(.js) - Node.js web framework
- React(.js) - a client-side JavaScript framework
- Node(.js) - the premier JavaScript web server
Express and Node make up the middle (application) tier. Express.js is a server-side web framework, and Node.js is the popular and powerful JavaScript server platform.
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React.js: React is a JavaScript library (not a framework) for building interactive user interfaces. It employs a component-based approach to create web applications.
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Mongo: MongoDB is a document-oriented NoSQL database that stores data in JSON BSON format and is known for its scalability and schema flexibility.
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Node: Node.js is a server-side JavaScript execution environment that enables the development of scalable and highly concurrent applications. It uses the Google Chrome V8 engine to run JavaScript code.
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Express.js: Express.js is a minimalist web framework for Node.js that simplifies the creation of web applications and APIs. It provides essential functions for handling routes, middleware, and HTTP requests.
Nancy is built on the Model-View-Controller (MVC) framework, a powerful architectural pattern that separates an application into three interconnected components. The Model (Mongo) represents the data and business logic, the View (React.js) handles the user interface, and the Controller (Express.js/Node.js) manages user input and interaction. This structure promotes modular development, making it easier to maintain and scale the application.
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In this project, following the MVC architecture with the MERN stack, it's quite evident that we use MongoDB as our database. MongoDB stores the models ("User" and "Note"), currently mapped to code through Mongoose, the library we use as an ORM to connect to MongoDB.
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The database exclusively interacts with controllers ("notesController" and "authController"), implemented as functions in Node.js. These functions are invoked by the Express backend framework, which, in turn, is triggered by routes coming from the client.
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The client interacts through a graphical interface built with React.js ("HomePage, "LoginPage", "NoteFormPage", etc.). It's crucial to note that React cannot directly access MongoDB, and MongoDB cannot send data to the client without passing through the controllers, in accordance with the MVC architecture.
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For clarity and organizational purposes, in the project, models and controllers have been separated into the "server" folder, while views are located in the "client" folder.
Before setting up and running Nancy Prototype, ensure that your system meets the following requirements:
- Node.js: Nancy uses Node.js for
server-side scripting. Ensure that you have Node.js installed. - MongoDB: MongoDB is used as the
databasefor Nancy. Install MongoDB on your system.
Follow these steps to get started with Nancy:
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Clone the Repository and go to the destination folder:
git clone https://github.com/WashingtonYandun/Nancy_Prototype.git
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Run the following commands in the corresponding folder:
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This in the root folder
npm i npm run dev
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This in the root folder too
cd client/ npm i npm run dev
This project is licensed under the CC0 1.0 Universal (CC0 1.0) License