🧠 AI-Powered Resume Screener
A lightweight resume screening app that uses AI to extract key candidate details from PDFs and evaluates them based on skills. Built with Streamlit, SQLite, and PyMuPDF. Ideal for HR teams, devs, or anyone needing a smart CV filter!
📸 Screenshots
🚀 Features
- 📄 PDF Resume Upload
- 🧠 LLM-Based Evaluation (GPT or any open-source LLM)
- 🧑💻 Name, Email, Skills Extraction
- 🗃 Resume Storage with SQLite
- 📊 Interactive Table View
🛠️ Tech Stack
- Frontend: Streamlit
- Backend: Python, PyMuPDF, SQLite
- AI: OpenAI / GPT-compatible LLMs / Together.ai (pluggable)
🔄 Pluggable LLM Support By default, this project uses GPT for resume evaluation. You can use any open-source LLM model (like Mistral, LLaMA, Gemma, etc.) by simply updating the model name or API in the gpt_evaluator.py file.
⚙️ Getting Started
git clone https://github.com/your-username/ai-resume-screener.git
cd ai-resume-screener
pip install -r requirements.txt
streamlit run app.py
1 maintainer
Metadata
1 maintainer
Release files for ai-resume-screener 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ai_resume_screener-0.1.0.tar.gz | 6.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ai_resume_screener-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.6 kB
Release files / ai_resume_screener-0.1.0.tar.gz
| Download URL | ai_resume_screener-0.1.0.tar.gz |
|---|---|
| Size | 6.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.7
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Release files / ai_resume_screener-0.1.0-py3-none-any.whl
| Download URL | ai_resume_screener-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.7
|
