Biomedical Engineer focusing on Mental Health in AI, Web 3, EEG and beyond
1 year of experience
Bachelor of Biomedical Engineering at UTM. Creator of mental health care technology projects. Using artificial Intelligence and innovative technology for humanity.
Hi there, I am a Data Scientist by profession working at Gramener. My expertise lies in the intersection of most AI/ML tools and techniques for CV, NLP and Generative AI. I would love to contribte to something that helps the world to be a better place for everyone to live in.
Hello, I'm Amar, a Data Scientist worked in IT business and tech operations in resolving business problems using storytelling-narratives. I have experience collaborating with researchers, engineers, and stakeholders for developing and deploying data-driven models and solutions. I use the potential of Machine Learning and Deep Learning frameworks using Hardware Acceleration, and MLOps to tackle the issue. I'm familiar with life cycle of models and good at creating a structure database from scratch.
Pictures generated by the Stable Diffusion are used for mental health therapeutic purposes. There are two main services, the free in-app plan and the premium chromotherapy in the metaverse. First of all, the main goal of the application is to be able to ask the users about their current mood and the reasons behind it to generate an image based on the theories of mental health and chroma therapy to improve overall mental health. The application first starts by asking about the overall mood of the user: Great, Good, Okay, Bad, Awful . Based on these questions the model generates an image that is soothing to the mood and improves the mood of the user throughout the day. Then, the metaverse is used to provide immersive chromotherapy in the metaverse for all. It consists of the panorama version or full-screen version of the picture being trained and generated using Stable Diffusion. Then, throughout the chromotherapy, we could let use relaxation-stimulating colors to provide immersive therapeutic experiences, whether it is the VR feature on ma mobile phone, the VR feature from a VR headset, the AR feature from an Apple device, and more that are compatible with Spatial XR.
Matching effective mental health therapy that suits you the most, precisely using Cohere Classify artificial intelligence tool. According to TheraLove Bot's assessment of the lovely kind soul's personality, preferences, and current state of mind, TheraLove recommends the appropriate type of mental health therapy. Effective mental health therapy will be recommended after eliminating therapies that are unlikely to suit the unique and lovely individual. While this model had been tested and built at its Alpha Stage by a biomedical engineer, please take the recommendation as a complimentary identification method and seek help from social worker and mental health professionals as everyone’s mental health state varies. Self-diagnosis are not encouraged in any forms. The mission of this project is to bring you the best mental health technology, so please feel free to contact the team as seen on Github for any comments. If in pain or with suicidal attempts, please call your local lifeline from The List of International Suicide Hotlines or any of the lifelines as shown on Github.
I-Rene Provides CBT for the lovely user using Cohere Conversant AI tool. The NFT is minted for free by the lovely user to track the CBT sessions and be proud of their healing process. It is a free, open-source, specific & effective mental health therapy needed by everyone, anywhere at anytime. The mental health AI chatbot will be developed as a standalone application that users can download and install on their mobile devices or access through a web-based platform. The chatbot will collect and use user feedback to improve its performance and effectiveness. This will involve monitoring user interactions and responses, and using machine learning algorithms to continuously adapt and improve the chatbot's responses and support. The mental health AI chatbot will use sentiment analysis to understand the emotional state of users and react accordingly. For example, if a user is feeling sad or anxious, the chatbot can provide appropriate support and resources to help the user manage their emotions and feelings. The mental health AI chatbot will use entity extraction to provide context-dependent answers and support, rather than just generic responses. This will involve analyzing the user's messages and extracting relevant entities and information, such as the user's goals, concerns, and challenges. The chatbot can then use this information to provide personalized and tailored support. The mental health AI chatbot will be integrated with a decentralized autonomous organization (DAO) and the Metaverse, which is a virtual shared space for communities and organizations. This will enable the chatbot to access and use decentralized resources and data to provide more accurate, relevant, and engaging support to users.
A new text-to-image model called Stable Diffusion is set to change the game once again ⚡️. Stable Diffusion is a latent diffusion model that is capable of generating detailed images from text descriptions. It can also be used for tasks such as inpainting, outpainting, and image-to-image translations. Join us for a epic stable diffusion makers event 11-13 November 👊
Come to the Cohere Thanksgiving Hackathon and let's build, create, and innovate together! This is a perfect opportunity to use your skills and creativity to support a cause or make a difference. You could build a business idea or a social cause project – it's up to you! 👉 There is not only incredible prizes up for grabs, this is also a perfect opportunity to get into the absolute 🔥🔥🔥 hottest 🔥🔥🔥 trend in technology. <b> <br/><br/>Sign up now and let's make a difference this <u>Thanksgiving!</u></b> Both seasoned AI / Tech pros as well as people with other domain knowledge are welcome, our team matchmaking system will make sure you find a team to work with, or create your own and invite your friends / colleagues.