Medica

A doctor's best friend

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Table Of Contents

• About the Project
• Built With
• Getting Started
  • Prerequisites
• Usage
• Contributing
• License
• Authors
• Acknowledgements

About The Project

This project is created using Django framework. This aims on becoming a doctor's ally by scanning and analyzing X-rays and summarizing the details to the doctor.

Here's why:

• As the doctor's time is very important, Medica saves the time of doctors.
• Easy functioning
• Uses machine learning techniques for its working.

Built With

Frontend : HTML, CSS Backend : Django Machine Learning : Keras, Tensorflow

Getting Started

Prerequisites

What all things you need to use this software.

Python 3.2 or higher Django framework installed Tensorflow library Keras library Visual Studio Code

Usage

Can be used in hospitals, clinics and all medical related areas.

Contributing

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

• If you have suggestions for adding or removing projects, feel free to open an issue to discuss it, or directly create a pull request after you edit the README.md file with necessary changes.
• Please make sure you check your spelling and grammar.
• Create individual PR for each suggestion.
• Please also read through the Code Of Conduct before posting your first idea as well.

Creating A Pull Request

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

License

Distributed under the MIT License. See LICENSE for more information.

Authors

• Geetesh Mehto - ML Developer - Geetesh Mehto - Admin of this repository
• Parag Agrawal - Full Stack Developer - Parag Agrawal - Maintaining this repository