CodeSM

Overview

CodeSM is a multi-role platform that enables creators to design coding problems and users to solve them. It offers a secure, scalable environment for coding practice with features like role-based problem creation, secure code execution, engaging user profiles, and robust security measures.

Features

• Role-Based System: Creators can author and store coding problems in AWS S3 buckets, with input test cases saved as text files in dedicated folders.
• Code Execution: Users can select and solve problems, with submissions validated securely via Docker containers, providing output feedback.
• User Profiles: Built with Shadcn UI, profiles display user details, profile images, and coding streaks for enhanced engagement.
• Security: Rate-limiting algorithms protect against denial-of-service (DoS) attacks, ensuring platform reliability and performance.

Tech Stack

• Backend: Node.js
• Frontend: React.js
• Database: MongoDB
• Storage: AWS S3
• Containerization: Docker
• UI Library: Shadcn UI

Installation

Prerequisites

• Node.js (v22 or higher)
• MongoDB
• Docker
• AWS account with S3 access
• npm or yarn

Steps

1. Clone the Repository:

   git clone https://github.com/shivamxverma/codesm.git
   cd codeSM

2. Install Dependencies:

   npm install

3. Configure Environment Variables: Create a .env file in the root directory with the following:

   PORT=8000
   MONGODB_URI=mongodb+srv://user:pasword@cluster0.wecd3fsq.mongodb.net
   CORS_ORIGIN=*
   ACCESS_TOKEN_SECRET="Shivam-verma"
   ACCESS_TOKEN_EXPIRY=1d
   REFRESH_TOKEN_SECRET="Shivam_Verma"
   REFRESH_TOKEN_EXPIRY=10d
    
   CLOUDINARY_CLOUD_NAME=
   CLOUDINARY_API_KEY=
   CLOUDINARY_API_SECRET=

4. Run MongoDB: Ensure MongoDB is running locally or provide a cloud-based MongoDB URI.

5. Start the Application:

   npm start

6. Run with Docker (optional): Build and run the Docker container:

   docker build -t codesm .
   docker run -p 3000:3000 codesm

Usage

• Creators: Log in with creator credentials, access the problem authoring dashboard, create coding problems, and upload test cases to AWS S3.
• Users: Sign up or log in, browse coding problems, submit solutions, and view results after secure execution in Docker containers.
• Profile Management: Update user details, upload profile images, and track coding streaks via the profile page.

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