The AI Interview Simulator is an AI-powered platform that helps users prepare for job interviews through realistic, interactive simulations. It supports multiple interview types and creates personalized sessions based on the user's target role, interview format, and resume profile.
The platform covers behavioral, technical, HR, and case study interviews, with support for coding challenges, automated feedback, and performance results.
Core Features
- Personalized Interview Sessions - Creates interview sessions based on the user's target job role and interview type.
- Smart Question Generation - Generates questions across behavioral, technical, HR, and case study domains.
- Interactive Technical Challenges - Provides coding and problem-solving tasks for technical interview preparation.
- Resume-Based Candidate Profiling - Uses RAG to extract and analyze CV/resume data for more personalized interviews.
- Code Context Analysis - Uses Tree-sitter to parse code into structured context graphs for deeper technical feedback.
- Automated Assessment - Evaluates user responses and generates interview performance results.
Technical Architecture
- RAG Pipeline - Extracts and retrieves relevant information from user CVs/resumes for candidate profiling.
- Tree-sitter - Parses submitted code into structured context graphs for deeper code understanding.
- LLM-Based Evaluation - Generates personalized questions, evaluates responses, and produces structured feedback.
- ElevenLabs - Converts interview questions and responses from text to speech.