Skip to content

This project is an end to end data science project that is able to predict the chances of getting a disease I๐Ÿค•๐Ÿค’๐Ÿ‘ฉโ€โš•๏ธ๏ธ in organs like liver, kidey, heart, etc.

Notifications You must be signed in to change notification settings

ervishuu/Health_Care_Web_Portal

Repository files navigation

Health_Care_Web_Portal โš•๏ธ

Note: This Project is only for educational purposes

This project is an end to end data science project that is able to predict the chances of getting a disease in organs like liver, kidey, heart, etc.

  • This Web-App provides a wide range of predicting the contamination multiple infectious diseases like Kidney disease, Diabetes, Liver Infection, Heart Disease & Breast Cancer.โš•๏ธ
  • We have used light ML model that can load within no time without compromising on the accuracy of the prediction. Light models quickly load which helps in better response of the page.
  • Though this app provides a wide range and high speed the accuracy has not been compromised. Hyper-parameters have been selected very carefully so that the accuracy is not hampered.

1) Home Page:

Screenshot (33)

2)Hearth Disease Prediction Web Page :

Screenshot (34)

3)Cancer Disease Prediction Web Page :

Screenshot (35)

4)Kidney Disease Prediction Web Page :

Screenshot (36)

5)Diabetes Prediction Web Page :

Screenshot (37)

6)Liver Disease Prediction Web Page :

Screenshot (38)

Dataset Used

Breast Cancer: Winconsin Breast Cancer Dataset

Diabetes Pima Indian Diabetes Dataset

Liver : Indian Patient Liver Records

Heart : Heart Disease Dataset

Kidney : Chronic Kidney Disease Dataset

Libraries Used:

1.Sci-kit Learn

2.Flask

3.Joblib

4.Pandas

5.Numpy

6.Bootstrap

7.HTML & CSS

This whole Project is Deployed using Flask

Steps used for Deployment:

a. Created the ML model and saved it using joblib.

b. Created app.py and the webpage page it will render to.

Hi, I'm Vishvanath ! ๐Ÿ‘‹

๐Ÿ”— Links

linkedin

About

This project is an end to end data science project that is able to predict the chances of getting a disease I๐Ÿค•๐Ÿค’๐Ÿ‘ฉโ€โš•๏ธ๏ธ in organs like liver, kidey, heart, etc.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published