• Ms. Gundam Rasi
• Mr. G. Rajasekhar Reddy

People all around the world put in a lot of effort to keep up with our fast-paced world, as we all know. However, as a result of this, every person has to cope with a variety of health problems, the most well-known of which is depression or stress, which can ultimately result in demise or other heinous deeds. These irregularities can be classified as bipolar disorder, which can be treated by pursuing some form of therapy advised by medical professionals. For this study, working people provided data that included a variety of questions for the melancholy identification process. The dataset was then processed using certain machine learning methods. In comparison to the other methods, the Random Forest approach provides the highest accuracy of 87.02%.

Bipolar disorder, Random Forest, SVM, Decision Tree, Machine learning

" Predicting Psychological Instability Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.g568-g571, July-2023, Available :http://www.jetir.org/papers/JETIR2307680.pdf

" Predicting Psychological Instability Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppg568-g571, July-2023, Available at : http://www.jetir.org/papers/JETIR2307680.pdf