AIcademy Frontend

AIcademy is an LMS platform similar to Udemy, where students can access high-quality courses at affordable rates, and teachers can earn by selling their courses. AIcademy acts as a bridge between teachers and students, offering unique AI features to enhance the learning experience.

Looking for project backend? AIcademy backend repo

Overview

Project Specification

AIcademy leverages Retrieval Augmented Generation (RAG) to address students' doubts by referring to the context of the video, ensuring that answers are contextually relevant to the course content.

Project Requirements

• Frontend: React with Vite for tooling
• State Management: Redux Toolkit, RTK Query for fetching and caching
• Backend: Express.js, Node.js, Nginx
• Database: MongoDB with Mongoose as ODM, Qdrant as Vector Database
• Storage: AWS S3 (V3 SDK for Node.js) for Adaptive Bitrate streaming for videos
• Tech Stack: MERN (MongoDB, Express.js, React, Node.js), Rabbitmq, Langchain

Features

• AI-powered doubt resolution using RAG
• High-quality courses from world-class teachers
• Affordable pricing for students
• Secure video storage and Adaptive Bitrate streaming
• Efficient course upload process reducing server load

Getting Started

To get started with the project, follow these steps:

1. Clone the repository:

   git clone https://github.com/abhiram-ar/aicademy-fontend.git

2. Install dependencies:

   npm install

3. Set up environment variables: Create a .env file in the root directory and add the necessary environment variables as specified in the .env.example file.

4. Start the development server:

   npm run dev

Contributing

We welcome contributions to the AIcademy Backend project. To contribute:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Make your changes and commit them with a clear message.
4. Push your changes to your fork.
5. Submit a pull request detailing your changes.

License

This project is licensed under the MIT License.