Sympto Tracker

Duration:

13 weeks

Web Application

Machine Learning

Research

Sympto Tracker

Sympto Tracker is a web application that allows users to track their symptoms and predict the likelihood of developing certain diseases. The application is built using React, Flask, and RStudio, and currently supports the prediction of the following diseases:

  • Liver Cirrhosis

  • Mesothelioma

  • Chronic Kidney Disease

  • Coronary Heart Disease

  • Diabetes Mellitus

For predicting the disease diagnosis we used Supervised Binary classification Machine Learning models, and used the following algorithms:

  • Logistic Regression

  • Support Vector Machine

  • XGBoost

Tech Stack

  • React: Frontend

  • Node.js: Runtime environment

  • Flask: Backend web framework

  • RStudio: Data analysis IDE

Usage

To use Sympto-Tracker, simply enter your symptoms into the form on the home page and click "Predict". The application will use machine learning algorithms to predict the likelihood of developing each of the supported diseases based on your symptoms.

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© 2025. All rights Reserved.

Made by

Aniket

with ❤️

© 2025. All rights Reserved.

Made by

Aniket

with ❤️

© 2025. All rights Reserved.

Made by

Aniket

with ❤️