Enhancing psychological insights through machine learning: A new paradigm for guided understanding

Dasaradha Ramayya Lanka 1, Jammana Lalu Prasad 1, Vankayala Anil Santosh 1, * and Varanasi Avinash 2

1 Department of CSE, ISTS engineering college for Women (A), Rajahmundry, Andhrapradesh, India.
2 Department of CSE, Raghu engineering college (A), Vishakapanam, Andhrapradesh, India.
 
Review
International Journal of Science and Research Archive, 2024, 12(01), 405–412.
Article DOI: 10.30574/ijsra.2024.12.1.0748
Publication history: 
Received on 18 March 2024; revised on 06 May 2024; accepted on 09 May 2024
 
Abstract: 
On this age of technological advancement, the integration of system mastering's into human psychology is reworking our information of the human mind. This paper explores how advanced computational strategies are reshaping studies to find patterns of behaviour, emotional change, and tendencies in mental health. Evaluation of big datasets thru machine getting to know, together with social media and wearables, subtly detects feelings and predicts mental health troubles. Moral worries including privateness and bias require collaboration among psychologists, records scientists, and other specialists. Actual-world cases illustrate the function of device getting to know in detecting behaviour and advancing remedies. The want for interdisciplinary collaboration and ethical implementation is emphasised, with the promise of a destiny with advanced mental insights.
 
Keywords: 
Mechine learning; Human psychology; Data collection; Predictive Analytics; Sentiment Analysis
 
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