Smart Health Prediction Using Machine Learning

Project Code :TCMAPY526

Objective

The main objective of this application is to detect the brain stroke and breast cancer detection using machine learning techniques by using these we can easily find out the disease.

Abstract

The "Smart Health Prediction Using Machine Learning" system, based on predictive modelling, predicts the disease of patients/users on the basis of the symptoms that the user provides symptoms as an input to the system. This application has two logins one is admin and another is patient, patient can login in to the website and he can enter the symptoms, by using machine learning trained models patient can get the results of the patient disease. Here admin is responsible to provide login details to the patients and he can view the patient’s symptoms and diseases. Machine learning algorithms are Naive Bayes, Random Forest and XG Boost by using these techniques on brain stroke and Brest cancer datasets, will get the results of whether the patient have brain stroke symptoms or not and in Brest cancer we can find malignant or benign.

Keywords: Machine Learning algorithms, Malignant and benign, XG Boost, Random Forest, Naïve Bayes, Stroke

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

SOFTWARE AND HARDWARE REQUIREMENTS:

  • IDE : PyCharm
  • Software: Python3.6
  • Libraries : Sci-kit-Learn, Pandas, MatPlotlib, Flask
  • RAM : 4 or 8 GB
  • Hard disc or SSD  : 500 GB or More
  • Front End Technologies: HTML, CSS, JavaScript.

Learning Outcomes

  • Scope of Real Time Application Scenarios.
  • What is a search engine and how browser can work.
  • What type of technology versions are used.
  • Use of HTML, and CSS on UI Designs.
  • Data Parsing Front-End to Back-End.
  • Working Procedure.
  • Introduction to basic technologies used for.
  • How project works.
  • Input and Output modules.
  • Practical exposure to

Hardware and software tools.

Solution providing for real time problems.

Working with team/ individual.

Work on Creative ideas.

  • Frame work use.
  • About python.
  • Machine learning algorithms.

Demo Video

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