Create README.md

README.md

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+# api-cv-parser-flask
+
+This API made for parsing CV/Resume data into JSON with Flask python, main library that use is Pyresparser from [here](https://github.com/OmkarPathak/pyresparser)
+
+## Table of Contents
+
+- [Features](#features)
+- [Installation](#installation)
+- [Endpoints](#endpoints)
+- [License](#license)
+
+
+## Features
+
+- Parsing CV data from PDF
+
+## Installation
+
+```bash
+# Clone the repository
+git clone https://github.com/your-username/your-repository.git
+
+# Change directory
+cd your-repository
+
+# Install dependencies
+pip install nltk
+pip install spacy==2.3.5
+pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz
+pip install pyresparser
+
+# nltk
+python -m nltk.downloader words
+python -m nltk.downloader stopwords
+
+# Run the Flask app
+python api.py
+```
+
+## Endpoints
+
+The API exposes the following endpoint:
+
+### Parse Resume Endpoint
+
+- **URL:** `/parse-resumes`
+- **Method:** POST
+- **Description:** This endpoint allows you to upload a PDF file containing the CV/Resume data. The API will parse the data and return the extracted information in JSON format.
+
+#### Request
+
+- **HTTP Method:** POST
+- **Content-Type:** `multipart/form-data`
+- **Parameter:**
+  - `resume` (File): The PDF file containing the CV/Resume data to be parsed.
+
+#### Response
+
+- **Status Code:** 200 OK
+- **Content-Type:** `application/json`
+- **Response Body:** A JSON object containing the extracted information from the CV/Resume, including fields such as name, email, phone number, education, skills, etc.
+
+
+## License
+
+The API-cv-parser-flask project is open-source and available under the [MIT License](LICENSE).
+
+## Acknowledgements
+
+This project uses the `pyresparser` library by OmkarPathak. You can find the library [here](https://github.com/OmkarPathak/pyresparser).
+
+
+