Created on 11th January 2025
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The technical interview process is crucial in evaluating candidates' programming skills and problem-solving abilities, but traditional methods often rely on text-based questions and offline coding exercises, which can be time-consuming and lack immediate feedback. Automated platforms offer some interactivity but fail to provide the comprehensive evaluation of human interviewers. Our proposed solution is an AI-powered voice-based coding interview platform that enhances the candidate experience by allowing spoken responses and real-time coding in a sandbox environment. The platform integrates advanced natural language processing and real-time code evaluation, delivering instant feedback to candidates. By simulating a more natural interview setting, it helps candidates feel more comfortable and perform better during the process. The AI agent offers immediate feedback on responses during the interview and generates a comprehensive report at the end, detailing the candidate’s performance across various metrics. This platform revolutionizes technical interview preparation by combining the benefits of human-like interaction with AI efficiency.
So the biggest hurdle we ran Into was how will the agent save the user's answers to an database ? At first we thought of just extracting the answers from the chat history but that process would be too tedious but then we wrote custom code for function calling with llm. here the agent call a function automatically to save an answer to the database
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