InterviewGuide is an AI-powered interview platform that integrates resume analysis, simulated interviews with text and voice capabilities, interview scheduling, knowledge base management, and multi-model configuration.
The platform addresses the need for intelligent interview preparation and assessment by leveraging large language models, vector databases, and real-time speech technology. It combines resume parsing and analysis using Apache Tika and iText for document handling, LLM integration through Spring AI for intelligent responses, and pgvector for semantic search across knowledge bases. The system uses Redis Streams for asynchronous task processing of resume analysis and knowledge base vectorization, enabling decoupled workflows. Real-time voice interviews are supported through WebSocket communication, with speech recognition and synthesis provided by DashScope SDK. The architecture stores interview sessions in Redis and uses PostgreSQL as the primary relational database with vector storage capabilities.
The tool suits developers building interview preparation systems, HR platforms, or training applications who want a complete open-source solution without proprietary tiers. It is particularly relevant for those working with Java and Spring Boot who need to integrate LLM capabilities and vector search into their applications. The project explicitly commits to keeping all core functionality free and open-source without paid feature unlocking. The technology choices prioritize simplicity by consolidating vector storage into PostgreSQL rather than introducing separate vector databases, and using Redis Streams instead of dedicated message queues like Kafka to minimize infrastructure complexity.
The project maintains active development with regular updates to its core dependencies and features. Documentation is comprehensive, including architecture diagrams and detailed tutorials covering infrastructure setup and business logic implementation. The codebase demonstrates production-oriented patterns through its use of modern Java features like virtual threads, proper object mapping with MapStruct, and structured API documentation via SpringDoc OpenAPI. The maintainers provide supplementary paid tutorials focused on interview preparation around the project itself, indicating sustained engagement with the community using this platform.
