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ACA: LLM-Driven Automation for Job Applications

Role
Creator / Builder
Domain
LLM Automation / Productivity
Date
Ongoing project

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

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