Finding Psychological Instability using Machine Learning

Project Code :TCMAPY440

Objective

As we know that people around the globe work hard to keep up with this racing world. However, due to this each individual is dealing with different health issues, one of the most known issue is depression or stress which may eventually lead to death or other brutal activities.

Abstract

As we know that people around the globe work hard to keep up with this racing world. However, due to this each individual is dealing with different health issues, one of the most known issue is depression or stress which may eventually lead to death or other brutal activities. These abnormalities can be termed as the bipolar disorder which can be treated by undergoing some treatment suggested by specialists. For this research, data has been collected from working people which comprises of all kinds of questions for despondent detection and the dataset has been run through some machine learning algorithms. Random Forest algorithm gives the highest accuracy when compared to the other algorithms.

Keywords: Bipolar disorder, Random Forest, SVM, Decision Tree, Machine learning.

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

Block Diagram

Specifications

HARDWARE SPECIFICATIONS:
  • Processor: I3/Intel
  • Processor RAM: 4GB (min)
  • Hard Disk: 128 GB
  • Key Board: Standard Windows Keyboard
  • Mouse: Two or Three Button Mouse
  • Monitor: Any
SOFTWARE SPECIFICATIONS:
  • Operating System: Windows 7+
  • Server-side Script: Python 3.6+
  • IDE: Jupyter Notebook
  • Libraries Used: Pandas, Numpy.

Learning Outcomes

  • Scope of Real Time Application Scenarios
  • What type of technology versions are used
  • Working Procedure
  • Introduction to basic technologies used for
  • How project works.
  • Input and Output modules
  • Datasets properties
  • Machine learning algorithms.
  • Data pre-processing techniques
  • What is prediction
  • What are ML algorithms
  • Project Development Skills:
    • Problem analyzing skills.
    • Problem solving skills.
    • Creativity and imaginary skills.
    • Programming skills.
    • Deployment.
    • Testing skills.
    • Debugging skills.
    • Project presentation skills.
    • Thesis writing skills.

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