Build an E-Learning Website with the MERN Stack

In this project, we’ll build a responsive and interactive e-learning course catalog website. The platform displays a list of available courses and allows users to search through them using a dynamic search bar. Users will be able to:

• View a complete catalog of courses

• Search for courses based on keywords, titles, or categories

• Browse a clean, user-friendly interface designed for seamless navigation

• Ask questions to an integrated LLM-powered chatbot about course details or project information

Technologies used

This application is built using a modern full stack architecture:

• MongoDB: A NoSQL database for storing structured course data

• Express.js: A backend web framework for creating RESTful APIs

• React.js: A frontend library for building responsive user interfaces

• Node.js: A runtime environment to serve backend logic and handle requests

• LangChain and Google Gemini: To build an intelligent chatbot powered by large language models (LLMs) for answering user queries from embedded course data

Development workflow

• Backend setup: Express.js connects with MongoDB and defines endpoints to retrieve course data.

• Frontend implementation: React components dynamically render courses and connect with the backend.

• Search functionality: A real-time search bar filters courses by user input.

• LLM-based chatbot: A retrieval-augmented generation (RAG) chatbot answers user questions using relevant project data, offering contextual help and insights.