📄 Resume Parser (Streamlit App)

A web-based resume parser built using Python and Streamlit. Upload a single PDF or a .zip file containing multiple resumes, and extract key information like:

• ✅ Name (email-assisted search-based matching)
• ✅ Email
• ✅ Phone
• ✅ LinkedIn / GitHub / Other URLs
• ✅ Skills
• ✅ Bulk resume parsing (via ZIP upload)
• ✅ Optional export to Google Sheets (if enabled)

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🚀 Demo

Live App on Streamlit Cloud

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📦 Features

Feature	Status
Upload PDF or ZIP	✅
Name extraction via email match	✅
Link classification (LinkedIn, GitHub, etc.)	✅
Skills section parsing + fallback	✅
Google Sheets export	✅ (optional setup)
Streamlit UI	✅

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📁 Folder Structure

resume-parser/
├── app.py                   # Main Streamlit app
├── resume_parser_v05.py     # Resume parsing logic
├── requirements.txt         # Python dependencies
└── .streamlit/config.toml   # Streamlit settings (optional)

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✅ Getting Started (Local)

git clone https://github.com/aakk23/resume-parser.git
cd resume-parser
pip install -r requirements.txt
streamlit run app.py

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☁️ Deploying on Streamlit Cloud

1. Push this repo to GitHub
2. Go to Streamlit Cloud
3. Click "New App", connect your GitHub
4. Set app.py as the main file
5. Done 🎉

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🔐 (Optional) Google Sheets Export

If you want parsed results saved to Google Sheets:

1. Enable Google Sheets API from Google Cloud Console
2. Download credentials.json for a service account
3. Add the credentials file securely to your environment
4. Share the target sheet with your service account's email

Google Sheets logic is already built into resume_parser_v05.py.

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🧠 Tech Stack

• Python 3.10+
• Streamlit
• PyMuPDF
• pdfminer.six
• gspread (for Google Sheets)

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🙋‍♂️ Author

Aakkash Aswin
🌐 LinkedIn
💻 GitHub