Welcome to Prep Pal Career Coach, an AI-powered copilot designed to assist you with Interview questions and provides valuable guidance. Whether you're exploring career options, seeking job search advice, or looking for tips on professional development, Career Coach is here to help!
- Personalized Guidance: Prep Pal uses advanced AI algorithms to tailor responses to your specific needs and questions.
- Comprehensive Advice: Get assistance with career planning, job search strategies, resume building, interview preparation, and more.
- Easy-to-Use Interface: Built with Streamlit, Prep Pal offers a user-friendly chat interface for seamless interaction.
- Responsive Design: Access Career Coach from any device with an internet connection, whether it's your desktop, tablet, or smartphone.
- Clone this repository to your local machine.
git clone https://github.com/hackerdud3/PrepPalBot.git
- Navigate to the project directory.
cd PrepPalBot/RAG - Install dependencies using pip.
pip install -r requirements.txt
- Run the Streamlit app.
streamlit run main.py
- Open your web browser and go to the provided URL to access Prep Pal.
- Start chatting with Career Coach by uploading "your-resume".pdf. Type your interview questions and the copilot will train users on interview questions.
- You can also provide the URL of any interview questions website. The application will extract and analyze interview questions and answers from the website. This information will be utilized to enhance the copilot's responses when providing tailored answers based on your resume.
Contributions are welcome! If you'd like to contribute to Prep Pal, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix.
- Make your changes and commit them with descriptive messages.
- Push your changes to your fork.
- Submit a pull request to the main repository.
Prep Pal is developed by [Nandhi Kanti Vinay Kumaar]. It leverages Retrieval Augmented Generation, built using GPT, LangChain framework, an open-source library for natural language processing in Python, and Streamlit.
This project is licensed under the MIT License.