An user-friednly and easy to use web application which was built using python and flask to help womens by detecting diabetes in earlier stages.

• How does the app look?
• Motivation
• Development Lifecycle of the App
• Installation
• Languages Used
• About the Developer
• License
• Credits

App Link: https://www.linkedin.com/feed/update/urn:li:activity:6756229153403604992/

What could be the perfect way to get back into the learning phase after the Christmas and New Year break? Definitely an end-to-end machine learning project, right?. We all need a break , celebrations and enojoyments but that shouldn't lead us to be more relaxed. I felt i'm becoming more relaxed, so I thought of keeping myself busy and decided to built this Web App 😅

1. Jupyter Notebook and Google Colab Notebook were used for the machine learning model/algorithm development phase.
2. Visual Studio Code was used to built the Flask Web App.

The application is written in Python 3.7. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository :-

pip install -r requirements.txt

1. Python
2. Flask Web Framework
3. HTML and CSS

Soorya Parthiban LinkedIn Profile

Copyright 2021 Soorya Prakash Parthiban

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Thanks for Kaggle and team for the PIMA Diabetes Dataset.