MindReads is a platform designed to provide book recommendations and resources for mental health and well-being. Our solution utilizes TensorFlow, Angular, and Firebase to offer users a personalized and effective experience. Users can browse books by mental health status, read descriptions, and interact with others in online community rooms.
- Book recommendations based on the user's current emotional state, utilizing TensorFlow.
- Browse books by mental health status and read descriptions to find relevant recommendations.
- Smooth and user-friendly interface provided by Angular.
MindReads aims to contribute towards improved mental health outcomes for individuals and communities worldwide. By providing personalized book recommendations and an online community, we hope to remove the stigma around mental health awareness and offer resources for those seeking help and support.
- Our next steps for the project include expanding our reach to a larger audience through marketing and advertising efforts. We also plan to incorporate additional features, such as a chatbot for immediate support and resources, and to continue gathering data on the impact of our solution.
- Online community rooms for users to interact with others who share similar experiences.
- @Ishnoor kaur [Project Manager] - overseeing all the documentation part and video scripting
- @Manas Gupta [Front end developer] - overseeing user interface and experience and used Angular to build the website
- @Sayam Sharma [Back end developer] - overseeing deep learning and backend of the project.