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@article{174645,
        author = {YEDLA SHIVA KUMAR and DASARI SHIVA KUMAR and DHANPAL SHIVASAI and NANDYALA SHIVA and GONE SHIVAJA and Dr. Sujit Das},
        title = {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.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {817-820},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174645},
        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.},
        keywords = {Psychological diagnostics, Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning (ML), Mental health, Privacy, Confidentiality, Assessment, Standardized scoring, Data integrity.},
        month = {March},
        }