• Developing an app that uses Sahha to analyze patterns in smartphone usage and predict mental health conditions
• Creating wearables that monitor physiological data and use it to detect early signs of chronic illnesses
• Using EEG headsets to track brain activity and identify biomarkers for various psychological disorders and correlating it with Sahha analysis via a mobile appp.
• Developing software that uses speech patterns to detect signs of depression and anxiety in users alongside Sahha’s analysis.
• Using computer vision to analyze facial expressions alongside Sahha’s analysis and detect changes in mood
• Developing a system that analyzes social media posts alongside Sahha’s analysis and predicts mental health outcomes
• Creating a platform that uses data from smart home devices alongside Sahha’s analysis to monitor changes in behavior and detect signs of cognitive decline
• Using data from Sahha to predict and prevent health issues related to physical inactivity
• Developing a tool that uses Sahha to analyze sleep patterns and predict the onset of sleep disorders
• Creating an app that uses Sahha data to analyze patterns in mobility and predict the onset of mobility-related health issues
• Using data from Sahha to identify early signs of substance abuse and addiction