FillJobApplicationFields

Problem

Filling repetitive job application forms is time-consuming and error-prone.

Solution

Prototype of an LLM-based assistant that extracts structured information from a CV and fills application fields automatically.

What is implemented

• CV parsing
• Field mapping logic
• LLM-based text generation

Limitations

• No browser automation
• No validation layer
• Not production-ready

Why project was stopped

The project was built as a proof-of-concept to validate feasibility. Further development would require UI and integration with real platforms.

Setup files

1. Add *.tex file with latex of your resume
2. create .env file
3. fill it like this

DB_FILE_NAME=preferences.json
BASE_URL=https://api.openai.com/v1
MODEL_NAME="gpt-4o-mini"

OPENAI_API_KEY=<YOUR OPENTOUTER KEY OR OPENAPI>
DEFAULT_USER_ID=<that wouldn't be used>
DEFAULT_TEXT_FILE=<filename of .tex file>
DEFAULT_LINKEDIN=<link to linkedin profile>

4. [OPTIONAL] add preferences.json and add fields you would like to be found manually (w/o llm and analyzing .tex file):

{
    "user_id": {
        "<DEFAULT_USER_ID>": {
            "user_id": "<DEFAULT_USER_ID>",
            "first name": "<name>",
            "last name": "<surname>",
            "email": "<email>",
            "Phone number": "<phone number>",
        }
    }
}

Setup environment

python3 -m venv create venv
source venv/bin/activate
pip3 install -r requirements.txt 

Run

5. type in the terminal

python3 main.py --url <url>

--fill-in-browser -- still under construction

Problems

1. If you have problems with selenium, just delete it from requirements.txt, code will still work, but w/o --fill-in-browser