Back to Portfolio
ACA: LLM-Driven Automation for Job Applications
Description
The modern internship search is a numbers game requiring high-quality tailoring. ACA transforms the 1-hour manual chore of application tailoring into a 2-minute automated pipeline. It uses a "Power Scout" module that monitors job boards and an "AI Asset Factory" using Google Gemini API to perform semantic matching between the user's resume and job descriptions.
The final phase is a Form-Filler using Playwright (Chromium) that navigates complex job portals. To maintain a "Human-in-the-loop" philosophy, ACA populates data and hands control back to the user for final review.
Technologies Used
Python
Google Gemini API
Playwright
Streamlit
PyPDF
How I Did It
I combined LLM-based semantic matching with browser automation to streamline the entire application process.
Media
Image/Video Placeholder