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InterviewIQ is a real-time interview training tool that uses fine-tuned AI models to generate dynamic, personalized questions based on resume content. It analyzes sentiment and visual cues like eye contact and posture to deliver instant feedback, transcripts, and performance summaries—all while maintaining user privacy through i

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This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying pages/index.tsx. The page auto-updates as you edit the file.

API routes can be accessed on http://localhost:3000/api/hello. This endpoint can be edited in pages/api/hello.ts.

The pages/api directory is mapped to /api/*. Files in this directory are treated as API routes instead of React pages.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Running with Docker

To run the application using Docker and docker-compose.yml, follow these steps:

  1. Ensure you have Docker and Docker Compose installed on your machine.
  2. Build and start the Docker containers using the following command:
docker-compose up --build
  1. Open your browser and navigate to http://localhost:3000 to access the frontend.
  2. The backend service will be available at http://localhost:8000.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy the Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out Next.js deployment documentation for more details.

About

InterviewIQ is a real-time interview training tool that uses fine-tuned AI models to generate dynamic, personalized questions based on resume content. It analyzes sentiment and visual cues like eye contact and posture to deliver instant feedback, transcripts, and performance summaries—all while maintaining user privacy through i

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