https://github.com/papireddy903/resume-data-extractor

A Streamlit application powered by Google's Gemini Pro Vision model to effortlessly extract data from PDF resumes, simplifying the resume screening process.
https://github.com/papireddy903/resume-data-extractor

gemini-pro-vision genai generative-ai python streamlit

Last synced: 8 months ago
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A Streamlit application powered by Google's Gemini Pro Vision model to effortlessly extract data from PDF resumes, simplifying the resume screening process.

• Host: GitHub
• URL: https://github.com/papireddy903/resume-data-extractor
• Owner: papireddy903
• Created: 2023-12-30T13:53:09.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-12-31T11:03:17.000Z (almost 2 years ago)
• Last Synced: 2025-01-13T06:09:18.770Z (9 months ago)
• Topics: gemini-pro-vision, genai, generative-ai, python, streamlit
• Language: Python
• Homepage:
• Size: 2.93 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Resume Data Extractor with Gemini Pro Vision

This Streamlit web application leverages the Gemini Pro Vision API to extract data from resume in PDF format. Users can upload a resume, view the resume image, and extract relevant data by asking questions.

## Features

- Upload a resume in PDF format.

- View the resume image.

- Extract data by asking specific questions.

- Extract all available data from the resume.

## Prerequisites

- Python 3.10

- [Streamlit](https://streamlit.io/)

- [Gemini Pro Vision API Key](https://ai.google.dev/tutorials/python_quickstart)

## Installation

1. **Clone the repository:**

   ```bash

   git clone https://github.com/your-username/your-repo.git

   ```

2. **Navigate to the project directory:**

   ```bash

   cd your-repo

   ```

3. **Install the required Python packages:**

   ```bash

   pip install -r requirements.txt

   ```

4. **Create a .env file in the project root and add your Gemini Pro Vision API key:**

   ```bash

   GOOGLE_API_KEY=your-google-api-key

   ```

5. **Usage**

   Run the Streamlit app with the following command:

   ```bash

   streamlit run app.py

   ```

   

![image](https://github.com/papireddy903/resume-data-extractor/assets/97383201/b42496b2-2571-408d-91de-6b80dc6e115b)

![image](https://github.com/papireddy903/resume-data-extractor/assets/97383201/c80cdf88-12a5-4c15-a669-540edb48446a)

![image](https://github.com/papireddy903/resume-data-extractor/assets/97383201/92cca72d-c25f-4004-9104-49966ad630a5)

**Issues and Contributions**

If you encounter any issues or have suggestions for improvements, please open an issue or submit a pull request.