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The Rorschach inkblot test has long been used in psychological assessments to examine how individuals interpret ambiguous stimuli, offering insights into their cognitive and emotional functioning. Traditionally, this test is administered by clinicians in a controlled environment, with responses evaluated subjectively based on the clinician's expertise. However, manual administration and analysis can be time-consuming, costly, and subject to variability between practitioners. Additionally, the traditional method limits scalability, accessibility, and the ability to track progress over time efficiently. This paper presents the design and development of an online Rorschach inkblot test model to address these limitations. The proposed system automates the delivery of inkblot stimuli, allowing users to take the test remotely at their convenience. The application uses NLP and machine learning to analyze responses, offering standardized interpretations and reducing subjectivity. Additionally, the model is designed to help reveal key insights about a participant's state of mind, identifying traits such as whether an individual may be experiencing a depressed state, or if they possess a healthy psychological condition. It also helps uncover deeper personality traits, providing valuable information for both clinical assessments and self-reflection. The platform enhances accessibility by offering a user-friendly interface that allows clinicians and researchers to reach larger and more diverse populations. The online model can also be integrated with tracking features, enabling long-term analysis of users' psychological profiles. Data privacy and security are prioritized, ensuring that all participant information remains confidential and compliant with ethical standards. This modernized approach increases efficiency, scalability, and consistency in administering the test, broadens its application, enabling the detection of mental health conditions and personality traits.