ApnAInterview Cracker

ApnAInterview Cracker is a Software as a Service (SaaS) website. It provides essential job-ready tools such as resumes and portfolios by collecting minimal information from users. The platform also includes a resume score checker, offers mock interviews, and features an AI chatbot similar to ChatGPT. The chatbot utilizes the LLaMA-8 Meta model and integrates AI services from Google Cloud like Vertex AI, Summarizer, and Generative AI.

Features

• Resume and Portfolio Builder: Create professional resumes and portfolios with minimal input.
• Resume Score Checker: Evaluate your resume and get suggestions for improvement.
• Mock Interviews: Participate in simulated interviews to hone your skills.
• AI Chatbot: Get assistance from an AI chatbot powered by the LLaMA-8 Meta model and Google Cloud's AI services.

Tech Stack

• Frontend: Next.js
• Backend: Node.js, Express, MongoDB, QROQ SDK
• AI Services: LLaMA-8 Meta model, Google Cloud (Vertex AI, Summarizer, Generative AI)

Installation

To set up ApnAInterview Cracker locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/portfolio-builder-new.git

2. Navigate to the project directory:

   cd portfolio-builder-new

3. Install the dependencies:

   npm install

4. Start the development server:

   npm start

5. Open your browser and visit:

   http://localhost:3000
   

Usage

1. Create Resumes and Portfolios: Use the builder tools to generate professional documents.
2. Check Resume Scores: Upload your resume and get a detailed score report.
3. Participate in Mock Interviews: Practice with our mock interview feature.
4. Interact with the AI Chatbot: Get real-time assistance from our integrated AI chatbot.

Contributing

We welcome contributions! If you'd like to help develop ApnAInterview Cracker, please follow these steps:

1. Fork the repository
2. Create a new branch for your feature or bug fix
3. Commit your changes
4. Push your branch to GitHub
5. Submit a pull request

License

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

For any inquiries or support, please contact oltvez@gmail.com.

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