Real-Time Coding Interview Platform

Introduction

The Real-Time Coding Interview Platform is designed to simplify and improve the process of conducting technical interviews. It provides a collaborative coding environment where interviewers and candidates can interact in real time. This platform aims to make hiring more efficient, transparent, and fair by integrating features such as live coding, video/audio conferencing, anti-cheating mechanisms, and automated evaluation tools.

Why This Platform?

Traditional interview methods often require multiple tools, such as video calls, coding platforms, and manual note-taking. This leads to inefficiencies and difficulty in maintaining a structured hiring process. Our platform brings everything into one place, allowing interviewers to:

• Conduct interviews with real-time code execution.
• Monitor candidates with anti-cheating features.
• Use custom evaluation forms for structured assessments.
• Record interviews for later review.
• Automate tasks like interview scheduling and result tracking.

Key Features

1. Live Coding Environment – Candidates and interviewers can write, edit, and execute code in real time.
2. Video & Audio Conferencing – Integrated WebRTC-based video calls for seamless communication.
3. Anti-Cheating Measures – Tab-switch detection, session monitoring, and automated alerts.
4. Custom Evaluation Forms – Interviewers can create reusable assessment forms for structured feedback.
5. Automated Result Management – The system records scores and feedback, making hiring decisions easier.

Technology Stack

• Frontend: React.js (with Vite for optimization).
• Backend: Node.js, Express.js.
• Database: MongoDB for flexible data handling.
• Real-Time Features: WebRTC for video/audio, Monaco Editor for collaborative coding.
• AI Integration: Smart resume filtering and evaluation insights.

Conclusion

The platform helps companies and interviewers save time, reduce manual effort, and improve hiring accuracy. By providing a fair and structured evaluation process, it ensures that the best candidates are selected efficiently. Future improvements may include LinkedIn job portal integration and advanced analytics for better hiring decisions.

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Database Schema - Real-Time Coding Interview Platform

Overview

This database schema is designed for a Real-Time Coding Interview Platform. It structures data for managing interviewers, candidates, interviews, evaluation forms, feedback, and results.

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Database Schema - Real-Time Coding Interview Platform

Tables & Description

1️⃣ Interviewer Table

Stores interviewer details and authentication data.

• interviewerId (PK) – Unique identifier
• name, email (Unique), company, position
• passwordHash – Hashed password for authentication
• accessToken, refreshToken
• role (Admin/Interviewer)
• createdAt, updatedAt

2️⃣ Candidate Table

Holds candidate information and login credentials.

• candidateId (PK) – Unique identifier
• name, email (Unique)
• passwordHash – Hashed password for authentication
• accessToken, refreshToken
• resumeLink, appliedPosition
• createdAt, updatedAt

3️⃣ Interview Table

Manages interview sessions.

• interviewId (PK) – Unique identifier
• interviewerId (FK → Interviewer)
• candidateId (FK → Candidate)
• evaluationFormId (FK → Evaluation Form)
• scheduledTime, status (Pending, Completed, Rejected, Hired)
• createdAt, updatedAt

4️⃣ Evaluation Form Table (Reusable Forms)

Stores templates for evaluating candidates.

• evaluationFormId (PK) – Unique identifier
• interviewerId (FK → Interviewer)
• title, description
• createdAt, updatedAt

5️⃣ Evaluation Response Table

Stores feedback and scores for candidates.

• responseId (PK) – Unique identifier
• interviewId (FK → Interview)
• evaluationFormId (FK → Evaluation Form)
• score, comments
• createdAt, updatedAt

6️⃣ Result Table

Stores final hiring decisions.

• resultId (PK) – Unique identifier
• interviewId (FK → Interview)
• responseId (FK → Evaluation Response)
• finalDecision (Hired/Rejected/On-Hold)
• remarks
• createdAt, updatedAt

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Backend Repository - Real-Time Coding Interview Platform

Project Overview

This is the backend for the Real-Time Coding Interview Platform, built using Node.js, Express.js, and MongoDB. It provides authentication, interview management, real-time collaboration, and evaluation features via a RESTful API.

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Backend Structure

backend/  
│── .gitignore  
│── package.json  
│── README.md  
│── public/  
│── src/  
│   ├── config/            # Database, JWT, email service  
│   ├── models/            # Mongoose models for database schema  
│   ├── controllers/       # Logic for handling API requests  
│   ├── routes/            # Express routes for APIs  
│   ├── middlewares/       # Authentication & error handling  
│   ├── utils/             # Helpers for validation & responses  
│   ├── app.js             # Express app setup  
│   ├── index.js           # Server entry point  
│── .env (ignored)         # Environment variables  

Setup & Installation

1. Clone the repository

   git clone https://github.com/your-repo.git
   cd backend

2. Install dependencies

   npm install

3. Setup environment variables
   Create a .env file and add:

   MONGO_URI=your_mongodb_url
   JWT_SECRET=your_secret_key
   SMTP_USER=your_email
   SMTP_PASS=your_password

4. Run the server

   npm start

   Server runs at: http://localhost:5000

Available APIs

Method	Endpoint	Description
POST	/api/auth/register	Register user
POST	/api/auth/login	Login user
GET	/api/interviews	Get all interviews
POST	/api/interviews	Create an interview
GET	/api/candidates/:id	Get candidate details
POST	/api/evaluations	Submit evaluation
GET	/api/results/:id	Get interview results

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