Building a Skill Interview with AI (hugoj0s3.dev)

A new AI-driven application has been developed to conduct real-time, voice-based skill interviews, marking a significant innovation in assessing expertise in various fields. Users simply select a skill and engage with an AI agent that adapts question difficulty based on their responses. The interview features live captions and transcripts, allowing participants to interrupt or pause for thought without disrupting the flow. At the conclusion, a second AI agent evaluates the performance based on a structured report that includes a score, strengths, and areas for improvement, all while ignoring minor inaccuracies from speech recognition. This project showcases the flexibility of configuring interview skills through JSON files, which define various parameters such as agent tone and evaluation criteria, allowing for easy updates without changing core code. With an emphasis on modular design, the application integrates diverse AI providers for voice processing and evaluation, ensuring scalability and adaptability. By offering a natural conversational experience that mimics an actual interview, this app not only enhances the preparation process for participants but also provides valuable feedback for skill development, making it a noteworthy advancement in the AI/ML landscape.