Build a Fullstack AI Mock Interview Application with React, Next.js, and NAN

In this article, we’ll guide you through building a complete AI mock interview web application from scratch. We’ll leverage React, Next.js, NAN, and other technologies to create a functional SaaS platform. An accompanying video walks through the full process.

This tutorial explains how to build a full-stack AI mock interview application using modern web development tools. Learn how to create a landing page, implement user authentication with Clerk, and build a dashboard for managing interviews. Discover how to integrate AI-powered question generation and live streaming avatars. We will cover using Convex as a real-time database and implementing rate limiting using technologies like ArJet.

Application Overview

Our AI mock interview application offers a comprehensive platform for job seekers to practice and improve their interview skills. Key features include:

• A visually appealing landing page.
• Secure user authentication with Clerk.
• A user-friendly dashboard for creating and managing mock interviews.
• AI-powered interview question generation based on uploaded resumes or job descriptions.
• Live streaming avatars for a realistic interview experience.
• Real-time conversation tracking and feedback generation.
• Integration with Convex for data storage and management.

Setting Up the User Interface

The application’s front-end is built using React and Next.js. Next.js provides server-side rendering and routing capabilities, which are essential for creating a fast and SEO-friendly web application. The landing page is designed to be visually appealing and informative, showcasing the key benefits of the platform. Clerk is used to handle user authentication, allowing users to sign up and log in using their email addresses or Google accounts. Clerk simplifies the authentication process and provides features like password management and multi-factor authentication.

Creating the Interview Dashboard

Once authenticated, users are redirected to their dashboard, where they can view existing mock interviews and create new ones. The dashboard provides a clear and intuitive interface for managing interviews. To create a new interview, users can either upload their resume or provide a job description. This information is used to generate relevant interview questions. The application displays a preview of the uploaded resume file for verification.

Integrating AI for Question Generation

Upon submitting the resume or job description, an AI automation workflow is triggered. This workflow uses NAN to analyze the provided information and generate a set of relevant and challenging interview questions. The generated questions are then displayed to the user, allowing them to start the mock interview. This process leverages the power of AI to provide personalized and effective interview preparation.

Implementing Live Streaming Avatars

The interview session page features a live streaming avatar powered by Akool. Akool provides an API that makes it easy to integrate realistic avatars into the application. During the interview, the user can interact with the avatar by answering the generated questions. The application records the conversation and displays it in real-time. Features like mute/unmute and end call are included for a seamless interview experience.

Data Storage and Feedback Generation

Convex is used as the real-time database to store all interview-related data, including user information, interview questions, and conversation logs. Convex’s real-time capabilities ensure that data is updated instantly, providing a smooth and responsive user experience. Once the interview is complete, the application generates feedback for the user. This feedback includes an overall rating and suggestions for improvement. The AI model analyzes the interview conversation to provide personalized and actionable insights.

Key Takeaways

Here are some of the key takeaways from building this AI mock interview application:

• React and Next.js are powerful tools for building modern web applications.
• Clerk simplifies user authentication and provides a secure platform for managing user accounts.
• NAN enables the integration of AI-powered features, such as question generation and feedback analysis.
• Akool provides an easy-to-use API for integrating live streaming avatars.
• Convex offers a real-time database solution for storing and managing interview data.
• Rate limiting is important for SaaS applications to prevent abuse and ensure fair usage.

FAQ

What is NAN?

NAN is a tool used for automating workflows, particularly in the context of AI and data processing. In this application, it’s used to automate the generation of interview questions and feedback.

Why use Convex as a database?

Convex is a real-time database, which is ideal for applications that require instant data updates. It ensures that the interview data is always up-to-date, providing a smooth user experience.

What is the purpose of Akool?

Akool provides an API for integrating live streaming avatars into web applications. This adds a realistic and engaging element to the mock interview experience.

How does rate limiting work in this application?

Rate limiting is implemented using ArJet. ArJet allows to restrict the number of interviews a user can create within a given time period, preventing abuse and ensuring fair usage.

Can I customize the AI-generated questions?

Currently, the application automatically generates questions based on the resume or job description. Future versions may include options for users to customize or edit the generated questions. In conclusion, building an AI mock interview application involves integrating various technologies to create a seamless and effective platform for interview preparation. By leveraging React, Next.js, NAN, Akool, and Convex, developers can create a powerful tool that helps job seekers improve their skills and increase their chances of success. This project showcases the potential of AI and modern web development techniques to transform the way people prepare for interviews and advance their careers.

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