This is an advanced and interactive AI-powered mock interview platform designed to help job seekers practice and improve their interview skills. Built with Next.js, Tailwind CSS, and Gemini Api,PostgreSQL, Drizzle ORM, it provides users with a good interview experience to enhance their chances of landing their dream job.

• AI-driven Interview: interview questions and feedback powered by AI.
• Personalized Interview Experiences: Tailor interview sessions based on job roles and industries.
• User Experience Level Questions: Questions are adjusted based on the user's experience level, ensuring relevance and appropriate difficulty.
• Detailed Feedback and Insights: Receive detailed feedback on your performance, including strengths, areas for improvement, and actionable tips.
• Question Bank: Access a wide range of interview questions across different domains and difficulty levels.
• Overall Grade: Receive an overall grade for each interview session, providing a quick assessment of your performance.
• Recent Interviews: Easily access and review your recent interview sessions directly from the home page.

To get started with the AI-Powered Mock Interview Platform, follow these steps:

1. Clone this repository:

   git clone https://github.com/modamaan/Ai-mock-Interview.git
   

2. Navigate to the project directory:

   cd ai-mock-interview
   

3. Install dependencies by running: npm install or yarn install

4. Start the Server npm run dev or yarn dev

5. Access the Application: Open your browser and go to https://localhost:3000 to access the application.

• Docker installed on your machine
• A Docker Hub account

6. Pull the Docker Image:

   docker pull mohamedamaan319/ai-mock-interview
   

7. Run the Docker Container in your local machine:

   docker run -d -p 3000:3000 your-docker-username/ai-mock-interview
   

This command will start the container and map port 3000 of the container to port 3000 on your local machine. You can now access the application at https://localhost:3000

• Next.js: A React framework for building server-side rendered and static web applications.
• Gemini API: Provides an interface for accessing the AI interview functionalities.
• PostgreSQL: A powerful, open-source object-relational database system.
• Neon Serverless: A serverless deployment for PostgreSQL, offering scalability and ease of use.
• Drizzle ORM: An ORM that makes database interactions simpler and more intuitive.

To use the AI-Powered Mock Interview Platform, follow these guidelines:

• Create an Account: Sign up to start your mock interview sessions.
• Choose Interview Type: Select the type of interview (e.g., technical, behavioral) and job role
• Start Interview: Begin your mock interview and respond to the AI-generated questions.
• Receive Feedback: After completing the interview, get detailed feedback and insights to improve.
• Review Recent Interviews: Access your most recent interviews directly from the home page for quick review and continued improvement.

If you have any feedback, please reach me at [email protected] or connect with me on LinkedIn.

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork this repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them to your branch.
4. Push your changes to your forked repository.
5. Submit a pull request to the main repository.

This project is licensed under the MIT License - see the LICENSE file for details.

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