Snailclimb/interview-guide

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3106 stars · 704 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source AI-powered interview platform built with Spring Boot 4.1, Java 25, Spring AI 2.0, React, PostgreSQL/pgvector, and Redis. It provides intelligent resume analysis, text and voice-based mock interviews, interview scheduling, and RAG-based knowledge base Q&A.

Use cases

• analyze resumes with AI and get improvement suggestions
• practice mock interviews with an AI interviewer
• run voice-based simulated interviews
• build a private knowledge base and ask questions with RAG
• schedule and manage interviews
• learn Spring AI and RAG through a real project
• generate interview questions from a resume
• export interview reports as PDF

When to choose

• you want a self-hosted AI interview practice or recruiting assistant
• you need a full-stack Java/Spring AI reference project with RAG, vector search, and async task processing
• you are a job seeker practicing technical interviews with LLM feedback
• you want to learn how to integrate LLMs, pgvector, and Redis Streams in a real application

When to avoid

• you need a production-grade enterprise ATS/recruiting suite with compliance features
• you require a non-AGPL license for commercial redistribution
• you want a lightweight tool without deploying PostgreSQL, Redis, and object storage
• your stack is not JVM-based and you prefer a Python or Node AI stack

Facets

application · maturity active

rag llm-inference chatbot speech-recognition tts websocket caching message-queue pdf search-engine api-framework web-framework artificial-intelligence large-language-models hr education web-development developer-tools jvm python self-hosted cross-platform spring-ai spring-boot react pgvector redis-stream resume-analysis mock-interview voice-interview knowledge-base interview-practice java gradle agpl retrieval-augmented-generation ai-agents docker web-server

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markdown · JSON · MCP: product_card(name="Snailclimb/interview-guide")