README.md

CodeFuse - Interview Taking Platform

Table of Contents

• Introduction
• Features
• Getting Started
  • Prerequisites
  • Installation
• Usage
  • Running the Application
  • Accessing the Frontend
  • API Documentation
• Contributing
• License

Introduction

CodeFuse is an interview taking platform that leverages the power of OpenAI's GPT-3 for conducting interviews and providing responses. This platform allows interviewers to interact with candidates through a chat interface powered by ChatGPT, streamlining the interview process.

The frontend of CodeFuse is built using React and Tailwind CSS, providing a modern and responsive user interface. On the backend, we use Spring Boot and Java to handle requests, communicate with the OpenAI API, and manage interview data.

Demo

• Homepage:

• Domain Selection:

• Interview Platform Page:

• Actual Interview Page:

Features

• Conduct interviews through a chat interface.
• Utilize OpenAI's GPT-3 for generating responses.
• User-friendly and responsive web-based frontend.
• Robust backend for managing interviews and data.

Getting Started

Prerequisites

Before getting started with CodeFuse, ensure you have the following prerequisites installed on your system:

• Node.js (for running the frontend)
• Java Development Kit (JDK) (for running the backend)
• Spring Boot (for the backend)
• OpenAI API Key (for connecting to the GPT-3 API)

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/codefuse.git

2. Navigate to the project directory:

   cd codefuse

3. Set up the frontend:

   cd frontend
   npm install

4. Set up the backend:

   cd ../backend
   # Replace 'your-api-key' with your actual OpenAI API Key
   echo "openai.api_key=your-api-key" > src/main/resources/application.properties

Usage

Running the Application

1. Start the backend server:

   cd backend
   ./mvnw spring-boot:run

2. Start the frontend development server:

   cd frontend
   npm start

Accessing the Frontend

Open your web browser and navigate to http://localhost:3000 to access the CodeFuse frontend.

API Documentation

For API documentation and endpoints, refer to the Swagger API documentation.

Contributors

• Krishna Vaishnav
• Akshay Kadam
• Aniket Sengar
• Swati Anchatageri
• Shivendra Kumar