A Novel Framework for Adaptive Psychological Diagnostics: Leveraging  AI, NLP, and Machine Learning with Augmented Assessment Instruments  for Dynamic Mental Health Evaluation and Real-Time Behavioral Insights.

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YEDLA SHIVA KUMAR; DASARI SHIVA KUMAR; DHANPAL SHIVASAI; NANDYALA SHIVA; GONE SHIVAJA; Dr. Sujit Das

A Novel Framework for Adaptive Psychological Diagnostics: Leveraging AI, NLP, and Machine Learning with Augmented Assessment Instruments for Dynamic Mental Health Evaluation and Real-Time Behavioral Insights.

Authors: YEDLA SHIVA KUMAR, DASARI SHIVA KUMAR, DHANPAL SHIVASAI, NANDYALA SHIVA, GONE SHIVAJA, Dr. Sujit Das

Unique Paper ID: 174645
Volume: 11
Issue: 11
PageNo: 817-820

Keywords: Psychological diagnostics Artificial Intelligence (AI) Natural Language Processing (NLP) Machine Learning (ML) Mental health Privacy Confidentiality Assessment Standardized scoring Data integrity.

Abstract:
This project presents a comprehensive framework for adaptive psychological diagnostics, utilizing AI, NLP, and ML to analyze structured questionnaire responses and generate concise mental health summaries. The system ensures accuracy while upholding strict privacy measures. Its core components include secure data preprocessing, NLP-driven interpretation, and ML-based scoring for objective assessments aligned with psychological standards. Designed for minimal human intervention, it offers unbiased evaluations. Validated through simulations, this scalable and privacy-focused tool enhances mental health assessments in clinical and research settings while safeguarding data integrity.

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ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 817-820

A Novel Framework for Adaptive Psychological Diagnostics: Leveraging AI, NLP, and Machine Learning with Augmented Assessment Instruments for Dynamic Mental Health Evaluation and Real-Time Behavioral Insights.

Available:https://ijirt.org/article?manuscript=174645

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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