RL
Rohan Lopes
Sr Architect
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    Revolutionizing Interviews: Real-Time AI Agents Powered by Gemini Live and Livekit

    A Proof-of-Concept demonstrating AI-powered preliminary job interviews in real-time using Google's Gemini Live API and Livekit for natural, conversational interactions.

    AI-Generated Summary

    This proof-of-concept shows how AI agents can conduct preliminary job interviews in real time—natural, conversational, and tailored to a specific role. A recruiter enters the candidate's name and a job description through a simple Next.js interface, which spins up a Python-based Livekit agent powered by Google's Gemini Live API. The agent greets the candidate, asks role-relevant questions one at a time, follows up on answers, and gracefully wraps up within a preset time limit—all with low-latency, back-and-forth voice. As AI prototyper and developer, Rohan integrated the Gemini Live realtime model, set up Livekit's real-time audio infrastructure, built the Python interview agent, and developed the Next.js frontend that launches each session.

    Project Demos & Resources
    Explore the project’s code and documentation on GitHub.
    Details

    Revolutionizing Interviews: Real-Time AI Agents Powered by Gemini Live and Livekit

    My Role

    AI Prototyper / Developer

    Problem Solved

    Traditional preliminary interviews can be time-consuming and resource-intensive. This project aims to automate and streamline this process using real-time AI agents.

    Key Contributions

    Integrated Google's RealTime Model Gemini Live API for AI voice and intelligence, set up Livekit for real-time communication, developed the Python-based Livekit Agent, and built the Next.js frontend to initiate interviews.

    Technologies Used

    Google Gemini Live API (RealTime Model)
    Livekit
    Next.js
    React
    Python
    LangChain (implied for agent instructions)