AI-Interview-Agent — Gemini AI Agent
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    AI-Interview-Agent

    AI-Interview-Agent

    Ranjit2111 March 19, 2025
    5 copies 0 downloads

    Multi-agent AI system for interview practice. Features adaptive questioning, real-time coaching, personalized feedback, and learning recommendations via web search. Built with FastAPI, React, LangChain, and Google Gemini. Deployed on Azure & Vercel.

    AI Interviewer Agent 🚀

    License: MIT

    The AI Interviewer Agent is a sophisticated, AI-powered platform designed to help users practice and excel in job interviews. It leverages a multi-agent system to provide a realistic, interactive, and adaptive interview experience, complete with real-time coaching, in-depth performance analysis, and personalized learning recommendations.

    The frontend is a sleek, modern single-page application built with React and Vite, designed for an intuitive user experience and deployed on Vercel. The powerful backend is a FastAPI application, containerized with Docker and deployed on Microsoft Azure, ensuring scalability and reliability.


    ✨ Core Features

    This platform is more than just a Q&A bot. It's a comprehensive interview preparation ecosystem.

    1. Dynamic AI Interviewer Agent

    • Adaptive Questioning: The AI interviewer doesn't just follow a script. It generates relevant questions based on the job role, job description, and the content of your resume. It also asks insightful follow-up questions based on your answers.
    • Multiple Interview Styles: You can choose from various interview styles (Formal, Casual, Technical, Aggressive) to simulate different real-world scenarios.
    • Configurable Difficulty: Adjust the interview's difficulty (Easy, Medium, Hard) to match your preparation level.
    • Time-Aware Sessions: Practice under pressure with timed interviews, forcing you to give concise and effective answers.

    2. Real-time Agentic Coach

    • Turn-by-Turn Feedback: As you answer each question, a silent "Coach Agent" analyzes your response in the background. It provides immediate, private feedback on your clarity, confidence, and the substance of your answer.
    • In-depth Performance Metrics: The coach tracks various aspects of your performance throughout the session.

    3. Persona

    Tags

    agentic-aiazureazure-container-registrydockergeminillmmulti-agent-systemspostgresqlsttsupabase

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