Skip to content

Ayurcare is a website in which 4 disease detections models are there using the power of AI. Brain Tumour detection: Used ,VGG16,CNN accuracy is 92.42% Breast Cancer Detection: Used Random Forest accuracy was 99.53% Diabetes detection: Used SVM accuracy was 78.66%. Pneumonia Detection: Used custom CNN accuracy was 98.16%

Notifications You must be signed in to change notification settings

CodewithAbhi7/Ai-based-Disease-Detection-System

Repository files navigation

Ai-based-Disease-Detection-System

HealthCure is a website in which 4 disease detections models are there using the power of AI. Brain Tumour detection: Used CNN accuracy is 92.42% Breast Cancer Detection: Used Random Forest accuracy was 99.53% Diabetes detection: Used SVM accuracy was 78.66%. Pneumonia Detection: Used custom CNN accuracy was 98.16%

Steps to run this website:

  1. Download anaconda https://www.anaconda.com/download/
  2. Create a conda environment and install the required libraries
    conda create -n ayurcare python=3.9
    conda activate ayurcare 
    pip install opencv-python numpy tensorflow scikit-learn==0.24.2 imutils flask xgboost
    
  3. When you have successfully created the environment, installed the required libraries, and activated it, simply run the following command in the terminal.
    flask run
    

The Datasets used to train the model are:

Preview of our website

Screenshot 2023-11-22 171445 Screenshot 2023-11-07 230919 Screenshot 2023-11-07 231035

About

Ayurcare is a website in which 4 disease detections models are there using the power of AI. Brain Tumour detection: Used ,VGG16,CNN accuracy is 92.42% Breast Cancer Detection: Used Random Forest accuracy was 99.53% Diabetes detection: Used SVM accuracy was 78.66%. Pneumonia Detection: Used custom CNN accuracy was 98.16%

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages