interview-guide: what it is, what problem it solves & why it's gaining traction

interview-guide: what it is, what problem it solves & why it's gaining traction

What it solves

InterviewGuide is an intelligent AI interview platform designed to streamline the hiring and interview preparation process. It solves the problem of manual resume screening and the lack of realistic, structured practice for candidates by providing automated resume analysis, simulated mock interviews (both text and voice), and a managed knowledge base for technical preparation.

How it works

The system integrates Large Language Models (LLMs) with a RAG (Retrieval-Augmented Generation) architecture. It uses Spring AI to connect to various LLM providers (like DashScope, DeepSeek, and Kimi) and employs PostgreSQL with pgvector for storing and retrieving document embeddings. For resume analysis and knowledge base vectorization, it uses Redis Streams to handle tasks asynchronously. The voice interview feature utilizes WebSockets combined with ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) for real-time, streaming conversations.

Who it’s for

  • Job Seekers: To get AI-driven feedback on their resumes and practice interviews in a simulated environment.
  • HR/Recruiters: To efficiently analyze multiple resumes and evaluate candidate capabilities.
  • Training Institutions: To manage technical knowledge bases and provide structured interview training for students.

Highlights

  • Multi-Modal Interviews: Supports both text-based and real-time voice interviews with low-latency streaming TTS.
  • Skill-Driven Questioning: Features 10+ predefined interview directions (e.g., Java Backend, System Design, AI Agents) with specific scope and difficulty levels.
  • RAG Knowledge Base: Allows users to upload documents (PDF, DOCX, Markdown) to create a professional AI assistant for targeted Q&A.
  • Automated Resume Analysis: Parses multiple file formats and generates structured PDF analysis reports asynchronously.
  • Flexible Model Management: Supports multiple OpenAI-compatible providers and allows switching between chat and vector models via a settings UI.

Sources