Published Paper Details:

MindWell AI is a project that provides both AI mental health assessments and chatbot chat support. The project has a Flask based backend and its frontend is based on React having features like JWT authentication and prediction of mental health disorders with the help of machine learning model. In this document, I explain the motivation behind and the scope of this project and state the problem that this system tries to solve focusing on the model that it adopts, followed by the literature review. They wanted to provide an intuitive and interactive platform to help improve the access to mental health support by allowing users to self assess their own well being and get guidance. Mental health troubles being on the rise, there is a high urge for tech solutions. Large segment of the population undergoes stress, anxiety, and depression which makes AI based interventions required. The aim of this project is to close the gap between professional mental care and people seeking first assessments. The system, utilizing predictive analytics and chatbot interactions gives them a nonjudgmental, affable, and informative platform to interact with. Additionally, the platform for scalability and security, aiming it with best industry practices to defend the user data. With modern web technologies integrated, we are able to provide a very smooth user experience, and keep the service up and running using continuous testing and monitoring of its performance. With mental health being one of the most important aspects to a person's overall health, MindWell AI takes the cake as a big step towards making health resources accessible, combining technology with empathy to create a friendly environment.