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This study offers a novel platform for mental health support that incorporates state-of-the-art technology to improve user experience. The platform analyzes user journals using BERT-based emotion analysis, and it generates weekly reports that show emotional trends. By utilizing blockchain technology, individuals can grant and withdraw therapist access as needed, while also ensuring safe record-keeping. Therapists can promote cooperative and private treatment by safely uploading session recordings to the blockchain. Real-time help is provided via a generative AI-based chatbot that makes use of LSTM and Seq2Seq architectures, and peer interactions are facilitated by a community chat app. The platform's usefulness is demonstrated by the results, and user feedback validates its influence on mental health assistance. This project creates a user-centric framework that integrates blockchain security, emotion analysis, and AI-driven interactions to provide a holistic approach to mental health.
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Gujarathi et al. (2024) studied this question.
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