Our idea is to use AI, ML and open source technologies to revolutionize the healthcare fields - specifically Mental Wellness and Eye Care using Autonomous AI Agents. These Autonomous AI Agents are using SuperAGI and deployed on AWS. We have given the choice to users on our landing page to use Eye Health or AI Therapist for their purposes. The Eye Health uses Eye Care AI Agent to track blinks of users and let them know how their eyes are and what is the blink status of their eyes using real time live webcam feed. This will help to notify users and recommend them best strategies for eye care and early stage detection and prevention from diseases like Dry Eyes Disorders. We have the AI Therapist that uses Mental Wellness AI Agent to track the moods of the user from a live webcam feed and the SuperAGI helps in replying to users based on the mood track what they should do in order to be in a good mood, this helps users to track real time their moods and get some suggestions from AI Therapist. People of all ages have the tendency to have long working hours and exposures to screens and devices. These causes issues for eyes and also mental health gets affected due to such behaviors, mental wellness and some basic guidance as initial steps for healthcare can be provided by the AI Therapist and that can help users to track their mental moods, in future we can also allow them to have chatbots and have conversations with AI Therapist and Eye Care Agent. Eye Care Agent can help in tracking blinks and how good their eye health is and can suggest if their blink count per minute is less than 12, it can suggest the users to have some time off, do exercises, take a break, engage in healthy activities and take care of themselves. Screen time and usage of users can also be tracked and it can help to suggest users what steps to be taken in terms of productivity, creative and efficient parental controls, gaining better leverage on data using insights from AI & MLCategory tags:
"Great usage of AI and computer vision to monitor mental and eye health. I'm impressed! Although a few improvements I think could be made if the computer vision model could not just detect the blinks of the eye but also suggest alternative methods of usage to reduce the stress on the eyes. This way the user can be diverted into activities that could be less harmful to their eyes. Other than that, wonderful presentation and smooth application with a good business proposition. Great work team! "
Machine Learning Engineer