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:
-
Clone this repository:
git clone https://github.com/modamaan/Ai-mock-Interview.git
-
Navigate to the project directory:
cd ai-mock-interview
-
Install dependencies by running:
npm install
oryarn install
-
Start the Server
npm run dev
oryarn dev
-
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
- Pull the Docker Image:
docker pull mohamedamaan319/ai-mock-interview
- 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:
- Fork this repository.
- Create a new branch for your feature or bug fix.
- Make your changes and commit them to your branch.
- Push your changes to your forked repository.
- Submit a pull request to the main repository.
This project is licensed under the MIT License - see the LICENSE file for details.
Show your support by 🌟 the project!!