DISEASE PREDICTION

Used for disease prediction by analyzing symptoms provided by the user.

Aim of our project was to develop a virtual disease diagnosis system using machine learning.

  1. Collected a dataset of 132 symptoms for predicting approximately 43 diseases.
  2. Front-End development using HTML, CSS
  3. Machine Learning Model used - Random Forest, SVM to accurately predict disease - successfully we have trained the model
  4. There are still some errors in prediction, we are trying to correct it
  5. Finally trying to make an API and establish connection between frontend & backend


Programming Language Used:

  1. Python
  2. HTML, CSS


Programming Environments Used:

  1. Visual Studio Code
  2. Jupyter Notebook


Timeline of Project Development:

  1. Frontend development done
  2. Collected dataset
  3. Preprocessing ongoing
  4. Trained the model
  5. Predicted successfully
  6. Trying to build API for web integration
ANS BENNY
GOURY PRIYA SAJEEV
WAFA CN
DIYA MIRIAM ABRAHAM

Project created by ANS BENNY

9 March 2024