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Description

This project automates resume customization and provides interview preparation tips tailored to specific job descriptions. Currently implemented as a Jupyter Notebook, the project dynamically analyzes your current resume and job description to generate a personalized resume and actionable insights for interview preparation. In future updates, the project will be converted into a Streamlit app to enhance accessibility and user experience.

Features

Resume Customization:

  • Upload your existing resume: Supports TXT or PDF formats.
  • Input the job description: Upload in plain text or PDF format.
  • Tailored Resume Generation: Emphasizes relevant skills, experiences, and keywords to match the job description.

Interview Preparation:

  • Personalized interview questions: Offers a list of potential interview questions based on the job description.
  • Behavioral and Technical Tips: Provides insights on how to effectively answer both types of questions.

Workflow

Input:

  • Current Resume (in TXT or PDF format).
  • Job Description (plain text or PDF).

Processing:

  • The system uses NLP to analyze the job description and identify key skills, qualifications, and requirements.
  • Matches the job description with your resume, highlights strengths, and suggests areas for improvement.

Output:

  • A modified resume that aligns with the job description.
  • A detailed report containing:
    • Suggested keywords and phrases to include in your resume.
    • Tips for structuring your resume.
    • Customized interview preparation tips for the role.

Technology Stack

Backend:

  • Programming Language: Python
  • NLP: OpenAI’s GPT-based models for job description and resume analysis.
  • Agentic Workflows: LangChain to manage workflows.

Frontend (Planned):

  • Streamlit: For a user-friendly web interface.

Deployment:

  • Docker: For scalability and portability.
  • Cloud Platforms: Compatible with AWS, Azure, and GCP.

Future Updates:

  • Conversion to a Streamlit app for enhanced interactivity.
  • Integration with cloud services for easy deployment and access.