• Nikhith. Nukala
• P. Sanyasi Naidu

A person's emotional, psychological and social well-being is reflected in their mental health. It influences however an individual can think, feel or handle a situation. Positive mental health helps an individual to figure productively and deliver the goods their full potential. At each purpose in life, mental health is vital, from childhood to adulthood. varied factors contribute to mental health problems that result in psychological state like stress, social anxiety, depression, psychoneurotic compulsive disorder, drug addiction, geographic point issues and temperament disorders. The onset of mental illness ought to be determined while not flaws for maintaining an acceptable life balance. we've got collected data from on-line obtainable datasets. the information has been label encoded for higher prediction. the information is being subject to varied machine learning techniques to get labels. These classified labels can then be accustomed build a model to predict the mental state of an individual. The accuracy of the formula are going to be analysed before it's used to build the model. we have a tendency to planned to implement classification algorithms similar to decision Tree, Random Forest and Naïve Bayes. Our target population is within the labour i.e folks higher than the age of 18. Once the model is built, it will be integrated to a web site so it will predict the result as per the main points provided by the user.

Machine Learning, Data Mining, Decision Tree, Random Forest, Naive Bayes.

"CATEGORIZING ALGORITHM TO BUILD INTELLECTUAL HEALTH PREDICTION USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.b3-b8, June-2022, Available :http://www.jetir.org/papers/JETIR2206102.pdf

"CATEGORIZING ALGORITHM TO BUILD INTELLECTUAL HEALTH PREDICTION USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppb3-b8, June-2022, Available at : http://www.jetir.org/papers/JETIR2206102.pdf