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ResGit: AI-Powered Resume Builder

Inspiration

Applying for jobs can be time-consuming, especially when tailoring resumes for each position. We wanted to streamline this process by building a tool that helps users quickly generate customized resumes.

What It Does

ResGit reads existing resumes and extracts all experiences and relevant information into a master list. Users can then select specific experiences and details they want to include, and the system compiles a neatly formatted resume.

How We Built It

Frontend: Developed using Next.js and Tailwind CSS for a clean and intuitive user experience.
Backend: Built with Python Flask, AWS Bedrock, and AWS S3 for efficient data processing and AI-powered enhancements.
Resume Generation: Implemented using LaTeX for professional and polished formatting.

Challenges We Ran Into

Designing a flexible and structured LaTeX template for resumes.
Learning and implementing Next.js with limited prior experience.
Integrating AWS APIs and handling authentication and invocation complexities.

Accomplishments We're Proud Of

Creating a clean and intuitive UI/UX.
Achieving fast and reliable resume generation.
Successfully completing the project despite technical challenges.

What We Learned

Working with Next.js and improving frontend development skills.
Leveraging AWS Bedrock for AI-driven features.
Effective team communication and collaboration.

What's Next for ResGit

Deployment – Making the platform available for users.
AI-Powered Resume Selection – Implementing an AI feature to automatically select the best experiences and details tail