shahdev007/clinical-ai-trial repository overview

Table of Contents

1. About The Project⁠
   • Built With⁠
2. Getting Started⁠
   • Start the Server⁠
   • Screenshots⁠
3. Contributing⁠
4. Contact⁠

⁠About The Project

The Clinical-AI-trial project is a web application that extracts and processes clinical data from both URLs and uploaded documents (PDF, DOC, TXT). It uses OpenAI's API to analyze the extracted content and identify key medical information (like patient details, diagnoses, procedures). The processed data can then be exported to Excel files for further analysis or record-keeping.

⁠Built With

Frameworks/libraries used to bootstrap this project:

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⁠Getting Started

This project was bootstrapped with npm-create-vite.

⁠Installation

1. Clone the repo

   git clone https://github.com/ShahDev007/Clinical-AI-trial.git
   

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2. Install NPM packages

   npm install
   

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or

1. Pull the image uploaded on Docker:- https://hub.docker.com/r/shahdev007/clinical-ai-trial⁠

⁠Start the Server

npm run dev && npm start

Runs the app in the development mode.
Open http://localhost:5173⁠ to view it in the browser.

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⁠Screenshots

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⁠Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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⁠Contact

Dev Shah - https://www.linkedin.com/in/ShahDev007⁠
Project Link: https://github.com/ShahDev007/Clinical-AI-trial/⁠

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