10 Building an AI Interview Assistant: Project Walkthrough

 

This chapter covers

  • A comprehensive walkthrough of our AI Interview Assistant application, exploring both user experience and technical implementation
  • Core features, including interview type selection, parameter configuration, chat-based interface, text-to-speech capabilities, and feedback generation
  • Technical architecture decisions around Next.js, Vercel AI SDK, and Upstash Redis
  • Implementatingkey components including conversation management, data persistence, and AI response generation
  • Implementing security measures id to protect user data and prevent system abuse
  • Innovative solutions for solving development challenges

In this chapter, we'll take a comprehensive tour through our AI Interview Assistant application, examining both its user-facing features and the technical decisions that were made during development. This walkthrough will help you understand not just what the application does but why specific technologies were chosen and how they work together.

We'll explore the architecture built on all the fundamental tools and technologies that we’ve been introducing in this book so far: Next.js, Vercel AI SDK and using Upstash Redis for data management. The full code of this project is also found in the project repo.

Let’s start with an overview of the application features, and then we will follow up with some technical details. You’ll see screenshots of the application along the way.

10.1 Overview of the application

10.1.1 Key Features

10.1.2 Technical implementation

10.1.3 Technology Stack Overview

10.2 Security measures implemented

10.3 Challenges encountered during development

10.3.1 State Management considerations

10.3.2 Text-to-Speech integration

10.3.3 Generating feedback

10.4 Additional considerations and improvements

10.5 Summary