Skip to content

README.md

Latest commit

 

History

History
89 lines (65 loc) · 3.3 KB

README.md

File metadata and controls

89 lines (65 loc) · 3.3 KB
Raw

Repo2Resume

📌 Inspiration

Many students face challenges in effectively summarizing their projects for resumes, often missing opportunities to highlight their skills and achievements. This inspired us to create Repo2Resume, a tool that simplifies and automates the process, enabling students to confidently present their projects while saving time.

💡 What It Does

1. GitHub Repository to Resume

  • Accepts a GitHub repository as input.
  • Generates a resume-friendly summary using the STAR method (Situation, Task, Action, Result).
  • Highlights the project's purpose, key features, technologies used, and measurable outcomes.

2. Tailored Cover Letter

  • Creates personalized cover letters based on:
    • Job description.
    • Required skills.
    • Desired role.
    • Company details.
  • Ensures a professional, customized application.

3. Tinder-Like Job Search

  • Provides an engaging, Tinder-style interface for job discovery.
  • Leverages a vector database to match users with relevant job opportunities based on their resume.

🔧 How We Built It

GitHub to Resume Conversion

  • Model: Utilized the GPT-4o Mini model, fine-tuned on a dataset of 50 samples.
  • Approach: Integrated strict prompting to ensure outputs followed the STAR method format.

Tailored Cover Letter Creation

  • Model: Used GPT-4o Mini with inputs such as job descriptions, skills, roles, and company details.
  • Output: Delivered professional, personalized cover letters.

Tinder-Style Job Search

  • Vector Database: Employed Pinecone for semantic search and retrieval.
  • Text Embedding: Used Hugging Face models to encode text for efficient matching.

Frontend Development

  • Framework: Built with React.js for dynamic user interfaces.
  • Styling: Designed with Tailwind CSS for a modern, responsive look.

Deployment

  • Backend: Dockerized and deployed using Render.
  • Frontend: Deployed on AWS with Terraform for scalable, automated infrastructure.

🏆 Accomplishments

  • Winner of Best Software and Best Use of Terraform at GoatHacks 2025.
  • Successfully developed and launched a functioning platform with all core features.

🚀 What's Next for Repo2Resume

The project is ongoing, and future plans include:

  1. Skill Suggestions:
    • Recommend skills, frameworks, and technologies when analyzing GitHub repositories.
  2. Enhanced AI Model Fine-Tuning:
    • Improve accuracy while keeping costs manageable for students.
  3. Job Market Insights:
    • Provide additional data on job trends and tailored recommendations.

🛠️ Built With

  • Technologies:
    React.js, TypeScript, TailwindCSS, Python, FastAPI, Docker, Terraform
  • AI/ML Tools:
    Hugging Face, OpenAI, Pinecone
  • Deployment:
    AWS, Render

🌐 Try It Out

📢 Contribute

We welcome contributions to improve and expand Repo2Resume! Check out the GitHub repository for more details.