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Mobile Applications/Basic/TicTacToe Game/.gradle/buildOutputCleanup/cache.properties
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#Sat Oct 19 11:25:00 IST 2024 | ||
gradle.version=7.2 |
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Web Development/Intermediate/ATS SCORE RECOGNIZER/Readme.md
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# ATS SCORE RECOGNIZER | ||
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## Overview | ||
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The ATS Score Recognizer is a tool designed to automatically extract and recognize scores from various documents, such as resumes and job applications. Leveraging advanced optical character recognition (OCR) and machine learning techniques, this project aims to streamline the recruitment process by providing accurate score extraction. | ||
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## Features | ||
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- **OCR Capabilities**: Utilizes state-of-the-art OCR to read text from images and PDFs. | ||
- **Score Extraction**: Efficiently identifies and extracts relevant scores from documents. | ||
- **User-Friendly Interface**: Easy-to-use interface for uploading documents and viewing results. | ||
- **Multi-Format Support**: Works with multiple document formats including PDF, JPEG, and PNG. | ||
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## Installation | ||
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To get started with the ATS Score Recognizer, follow these steps: | ||
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1. Clone the repository: | ||
```bash | ||
git clone https://github.com/Baigfatema/ATS-SCORE-RECOGNIZER.git | ||
```` | ||
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2. Navigate to the project directory: | ||
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```bash | ||
cd ATS-SCORE-RECOGNIZER | ||
``` | ||
3. Install the required dependencies: | ||
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```bash | ||
pip install -r requirements.txt | ||
``` | ||
Usage | ||
Run the application: | ||
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```bash | ||
python app.py | ||
``` | ||
Upload your document through the provided interface. | ||
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View the extracted scores displayed on the screen. | ||
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Screenshots | ||
Here are some screenshots of the application in action: | ||
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![Screenshot of the Application](screenshot1.png) | ||
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Contact | ||
For any inquiries or issues, please contact: | ||
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[Baig-fatema](https://github.com/Baig-fatema) |
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