Diabetes Predictor

Diabetes Predictor Anytime Antywhere

Inspiration

According to a survey we have seen that about 85%people suffer through diabetes all around the world. So we are inspired from the idea that almost 50% of the people don't know they have diabetes or not. Worldwide 422 million peoples and in India 70 million peoples don't know they are facing the problem or not. SDG 3 aims to prevent needless suffering from preventable diseases and premature death by focusing on key targets that boost the health of a country's overall population. Regions with the highest burden of disease and neglected population groups and regions are priority areas. Health financing and workforce. Universal health coverage. Noncommunicable diseases. Emergency preparedness. So our webapp helps people to do things easily.

What it does

Our Diabetes Prediction website can help peoples to predict their diabetes state by inputing only certing amount of data such as BMI, Age , No of pregnancies etc and they could get their desired output such that they are diabatic or not, they doesnt have to move around in different pathology lab for their result by staying on their home using a smartphone entering only those data they colud get their result instantly.

How we built it

We have built these project using python and machine learning and trained about more than 750+ live data and used Support Vector machine Algorithm (svm) and logistic regression to built these model and then we have saved our model through google colab and loaded our model on python file and made a website through streamlit so that user can see their status of diabetes

Challenges we ran into

firstly, we have to collect many data sets .
How to train and from where , to train our algorithm .
After training our algorithm to find the accuracy of the module . We have find many difficulties to increase the accuracy , to provide proper information to the people .

Accomplishments that we're proud of

We are proud to made a such module on diabetes check , through Machine learning that we have made by our own , in very first Semester of College . We are very grateful to fulfill the Sustainable Development Goal 3 of our country and provide our country a healthy and Hassel free lifestyle . And we also proud of that our countries people can their health issue through our Website.

What we learned

We learned about svm algorithm logistics algorithm and also about diabetic measurement system. Also we learned about machine learning saying technically, we have also learned about several modules such as streamlit that we used in our project. Overall we came to know about many things working through the project

What's next for Diabetes Predictor

So our future plan is to make such more model so that user can get more benefited such as heart disease prediction and cancer prediction and increase the accuracy of all those.