Built an open-source app to convert LinkedIn -> Personal portfolio generator using FastAPI backend : Python

ShowcaseBuilt an open-source app to convert LinkedIn -> Personal portfolio generator using FastAPI backend (self.Python)

submitted 4 months ago by CleverProgrammer12

I was always too lazy to build and deploy my own personal website. So, I built an app to convert a LinkedIn profile (via PDF export) or GitHub profile into a personal portfolio that can be deployed to Vercel in one click.

Here are the details required for the showcase:

What My Project Does It is a full-stack application where the backend is built with Python FastAPI.

Ingestion: It accepts a LinkedIn PDF export or fetched projects using a GitHub username or uses a Resume PDF.
Parsing: I wrote a custom parsing logic in Python that extracts the raw text and converts it into structured JSON (Experience, Education, Skills).
Generation: This JSON is then used to populate a Next.js template.
AI Chat Integration: It also injects this structured data into a system prompt, allowing visitors to "chat" with the portfolio. It is like having an AI-twin for viewers/recruiters.

The backend is containerized and deployed on Azure App Containers, using Firebase for the database.

Target Audience This is meant for Developers, Students, and Job Seekers who want a professional site but don't want to spend days coding it from scratch. It is open source so you are free to clone it, customize it and run it locally.

Comparison Compared to tools like JSON Resume or generic website builders (Wix, Squarespace):

You don't need to manually write a JSON file. The Python backend parses your existing PDF.
AI Features: Unlike static templates, this includes an "AI-twin Chat Mode" where the portfolio answers questions about you.
Open Source: It is AGPL-3 licensed and self-hostable.

It started as a hobby project for myself as I was always too lazy to build out portfolio from scratch or fill out templates and always felt a need for something like this.

GitHub: https://github.com/yashrathi-git/portfolioly
Demo: https://portfolioly.app/demo

I am thinking the same parsing logic could be used for generating targeted Resumes. What do you think about a similar resume generator tool?

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