Inspiration

Facebook ; it's a platform where chatting, calling, Zoom app(fb room facility),events,donation everything is integrated.Anyone can open a personal /business account and as everything is in one platform life is easier for individuals. So I thought in medical terms there should be some platform where everything would be connected so the people connected to this field should face less time and labour problem detecting the patient's issue.

What it does

For now, it only bold predicts diabetes and breast cancer with the help of ml .the ml model isn't accurate enough yet. it needs more training.

How I built it

I built the models with ml, integrated them into the web app with a flask framework.

Challenges I ran into

1.Difficult to deploy the flask framework. 2.Server was not able to connect with the library I decided to use 3.Beginner to Machine Learning platform provide constraints in project work 4.Couldn’t acquire a dataset from medical services and it slowed down our work progress and further project processing. 4.Faced a hard time deploying data models into Web Applications.

5.Acquiring highest accuracy

Accomplishments that I'm proud of

Problem Solving, android development

What I learned

I have learnt how to use a prediction model, framework and deployment

What's next for Prediction Tools for Healthcare

I want to add detecting tumour from mamography image of breast cancer, add some other diseases prediction as well like malaria,dengu,virus prediction for the patients.

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