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--- |
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title: Simple Resume ATS Tracking |
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emoji: 📝 |
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colorFrom: blue |
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colorTo: indigo |
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sdk: streamlit |
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sdk_version: "0.82.0" |
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app_file: app.py |
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pinned: false |
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--- |
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Check out the configuration reference at [Hugging Face Spaces Config Reference](https://huggingface.co/docs/hub/spaces-config-reference) |
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# Simple Resume ATS Tracking |
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## Project Flow |
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1. **PDF Text:** The application starts by extracting text from a PDF file. This is done using the PyPDF2 library. |
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2. **API Response:** The extracted text is then sent to the Gemini API. The API processes the text and returns a response. |
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3. **PyPDF2 to Text:** The PyPDF2 library converts the PDF file into text. This text is then processed further. |
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4. **Gemini Using:** The processed text is sent to the Gemini API for further analysis. |
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## Technologies Used |
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- **Streamlit:** Streamlit is used for creating the web application. It provides an easy way to create beautiful, interactive web applications. |
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- **PyPDF2:** PyPDF2 is used for extracting text from PDF files. It provides a simple and efficient way to handle PDF files in Python. |
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- **Gemini:** Gemini is used for processing the text extracted from the PDF files. It provides powerful text analysis capabilities. |
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## Getting Started |
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To start this project, clone the repository and install the required dependencies. |
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```bash |
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git clone https://github.com/RahulSainy/GEN-AI-Projects.git |
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cd Simple Resume ATS Tracking |
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pip install -r requirements.txt |
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streamlit run app.py |
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