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Build & Deploy Full Stack AI Mock Interview App with Next.js | React, Drizzle ORM, Gemini AI, Clerk

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Introduction

Introduction

In this article, we will explore how to build a complete full-stack AI mock interview application using Next.js, React, Drizzle ORM, Gemini AI, and Clerk for authentication. This application will help users practice interviews based on their resumes and skill sets, providing a simulated environment for personal development.

Application Overview

The application consists of several features, including:

  • User Authentication: Users can create accounts, log in, and manage their profiles using Clerk.
  • Mock Interview Setup: Users can create new mock interviews by specifying job roles, descriptions, and required skills.
  • AI-Generated Questions: The application utilizes the Gemini AI API to generate interview questions based on user input.
  • Recording Responses: Users can record their answers using their webcam and microphone.
  • Feedback Mechanism: Users receive feedback on their answers with a rating and suggestions for improvement.
  • User Dashboard: A dashboard to view past mock interviews and access feedback.
  • Deployment: The application is deployed on Vercel, enabling easy access.

Technology Stack

The following technologies were used in this project:

  • Next.js: A React framework for building server-side-rendered applications.
  • React: A JavaScript library for building user interfaces.
  • Drizzle ORM: An Object-Relational Mapping tool for interacting with PostgreSQL.
  • Gemini AI: An AI model for generating interview questions.
  • Clerk: A user authentication service for managing user accounts.
  • Vercel: A hosting platform for deploying Next.js applications.

Building the Application

Step 1: Setting Up the Project

  1. Creating a Next.js Application: Use the command npx create-next-app@latest to set up a new Next.js project.
  2. Installing Dependencies: Install Tailwind CSS, Prisma, and required libraries for Clerk and Gemini AI.
  3. Project Structure: Organize the application into components, pages, and utilities folders.

Step 2: User Authentication with Clerk

  1. Setup Clerk: Create a Clerk account and set up a new application.
  2. Implement Authentication: Add login and registration features, allowing users to log in using email or social accounts.
  3. Middleware Protection: Ensure routes are protected and allow only authenticated users to access specific pages.

Step 3: Mock Interview Workflow

  1. Create Mock Interviews:

    • Build a form where users can specify the job role, description, and years of experience.
    • Use the Gemini AI API to generate questions.

  2. Recording Answers:

    • Integrate webcam and microphone capture functionality.
    • Store recorded audio as text using speech-to-text conversion.

  3. Feedback Generation:

    • After the mock interview, call the Gemini AI API to evaluate the user's answers and provide feedback, including a performance rating.

Step 4: User Dashboard & Feedback

  1. Display Past Interviews:

    • Show a list of previous mock interviews on the dashboard.

  2. Show Feedback:

    • Create a feedback page that displays the user's responses, along with the AI-generated feedback for each question.

Step 5: Deployment

  1. Connect to Vercel: Deploy the application using Vercel by linking to the GitHub repository.
  2. Environment Variables: Set environment variables in Vercel based on the application's requirements.
  3. Final Testing: Verify that the deployment works as expected.

Conclusion

You've successfully built and deployed a full-stack AI mock interview application! This project highlights the integration of various technologies to create a functional application capable of simulating interview experiences. By leveraging Next.js, Drizzle ORM, Gemini AI, and Clerk, developers can offer users a unique and beneficial tool for career preparation.

Keywords

  • Full Stack
  • AI Mock Interview
  • Next.js
  • React
  • Drizzle ORM
  • Gemini AI
  • Clerk
  • User Authentication
  • Recording
  • Feedback
  • Deployment

FAQ

Q1: What technologies are used in this project? A1: The project utilizes Next.js, React, Drizzle ORM, Gemini AI, and Clerk for user authentication.

Q2: How does user authentication work in the application? A2: User authentication is handled by Clerk, which allows users to log in using email or social accounts.

Q3: How are interview questions generated? A3: Interview questions are generated using the Gemini AI API based on user inputs about job roles and descriptions.

Q4: Can users receive feedback on their recorded answers? A4: Yes, users receive feedback from the application indicating the effectiveness of their answers along with suggestions for improvement.

Q5: How is the application deployed? A5: The application is deployed using Vercel, which integrates with GitHub for continuous deployment.