CareerCraft: ATS-Optimized Resume Analyzer Using Gemini Model

CareerCraft is a Streamlit application that compares a user's resume against a job description and generates ATS-focused feedback using Google's Gemini model.

Features

• Upload resume in PDF format
• Paste a target job description
• Get ATS-style evaluation and keyword feedback
• Identify strengths and improvement suggestions

Project Structure

• app.py - Main Streamlit app
• evs.py - Utility for adding vertical space
• .env.example - API key template
• requirements.txt - Python dependencies

Setup

1. Clone the repository.
2. Create a virtual environment.
3. Install dependencies:

   pip install -r requirements.txt

4. Create a .env file from .env.example and add your Gemini API key.
5. Run the app:

   streamlit run app.py

Notes

• The app uses gemini-1.5-flash.
• Resume parsing works for text-based PDFs.
• Image assets are loaded from public URLs.