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The Major goal of this study was to create a web-based interface to run inference on a machine learning model. The Web application developed with the flask framework helps to predict if a person has Diabetes mellitus or not via a web-based form.

Home Page: https://ajibs-diabetes-prediction.herokuapp.com/

License: MIT License

Python 2.33% Jupyter Notebook 76.97% HTML 20.55% CSS 0.10% Procfile 0.04%
data-science diabetes-detection flask machine-learning python python3 unsupervised-learning

diabetes-diagnosis's Introduction

Hey There 👋

I am a passionate Android Engineer with over 3 years of experience of delivering optimal mobile experiences to native and cross-platform applications in both development and visuals.

What I'm currently learning

I am a passionate learner, I am currently focusing on writing clean architectures with Kotlin and Java. I am also interested in exploring blockchain technologies

My Technical Skills

I am a Software Engineer with an expertise in:

  • Kotlin and Python programming languages
  • Building and Integrating RESTful APIs
  • Design patterns in android development
  • Working with Compose and Jetpack Libraries

Contact Me

You can contact me or connect with me through

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