Advanced AI Integration: We plan to implement more sophisticated machine learning models that continuously improve based on user data. This will help the app become more intelligent over time, recognizing patterns from narratives and historical data of athletes who experienced concussions.
Develop and improve natural language processing elements to more effectively evaluate player narratives, even under unclear or mixed situations.
Improve Accessibility by ensuring that the app is available in multiple languages to serve a broader audience globally
Increase Adoption and Partnerships by developing relationships with leagues to provide mass access to the app. Focus on community outreach to ensure coaches and parents are educated on concussion prevention and management
Customer Engagement: Leverage social media and influencer marketing to build awareness. Word-of-mouth referrals could help us gain early adopters and encourage users to spread the word as well
Continue to develop AI further
Build models that can predict which players are at a high risk of being injured based on their past injuries, their patterns of play, and their environment
Implement a feature to allow the app to sync directly with sports medicine professionals and medical providers
Add a community forum where parents, coaches, and athletes can share experiences and learn from others
Expand partnerships and revenue streams
Market Expansion (Global): Focus on regions where youth sports are growing, particularly in countries where concussion awareness is still catching up. This will include localizing the app for different languages and sports.
3. Next 7-10 Years
Introduce AI-powered concussion risk detection using wearable sensors (e.g., smart headbands) that assess the forces impacting a player’s head