How we use machine learning to protect young athletes while supporting their mental performance journey
Validated on 2,000+ diverse test cases including crisis phrases, sports metaphors, and normal athletic expression
Our Athlete Welfare Monitor uses a hybrid ML-enhanced triple-pass detection system designed specifically for the unique language patterns of young athletes. The system was developed with input from sport psychology research and validated against thousands of real-world scenarios.
140+ carefully curated crisis phrases are detected instantly with zero latency. This ensures immediate response for explicit statements of self-harm, suicide ideation, or farewell behaviors—no API delay when every second counts.
An advanced large language model analyzes ambiguous content with sports-context awareness. The system understands that "I killed it today" is positive athletic expression, not a crisis indicator. Age-appropriate prompting adjusts analysis for under-13, teen, and adult cohorts.
Advanced regex patterns catch complex multi-word constructions that might slip through simple keyword matching, adding another layer of protection for edge cases.
Immediate notification to designated safety contacts. Includes explicit statements of self-harm intent, suicide ideation, farewell behaviors, and passive ideation patterns.
Response Protocol: Instant alert to program administrators with exact trigger phrase. Score adjustments suspended to avoid reinforcing negative associations.
Patterns indicating athletic burnout, identity struggles, social isolation, or chronic anxiety. These warrant coach attention but not crisis intervention.
Response Protocol: Privacy-preserving summary sent to galaxy coaches. No journal content shared—only that the athlete may benefit from a check-in.
Healthy athletic expression including sports metaphors ("killed it", "destroyed them"), normal frustrations, performance anxiety, and everyday challenges.
Key Innovation: Our ML correctly classifies common sports language that keyword-only systems would flag incorrectly, preventing alert fatigue.
Inspired by FIFA player cards, ZenCard provides a visual representation of athlete mental resilience across three research-backed dimensions derived from the Martens/Vealey/Burton framework for competitive anxiety.
Confidence vs. Anxiety regarding sport performance. Tracks cognitive and somatic anxiety patterns.
Feelings of belonging vs. isolation. Measures connection with teammates and coaching staff.
External stressors including academics, relationships, and identity development outside of sport.
Athletes complete a 21-question baseline assessment to establish their personal mental performance profile. Questions are calibrated to age cohort.
Scores update in real-time based on AI analysis. Consistency is the number one metric—showing up daily to complete your mental reps has the highest impact on your growth.
To make mental conditioning as trackable, habitual, and essential as physical conditioning.
We exist to kill the stigma that mental training is a weakness. We see journaling not just as a lifeline during a slump, but as a preventative competitive advantage. By consistently engaging with your thoughts through ZenQuill, you build a "Mental Resume" of resilience that proves—to coaches, recruiters, and yourself—that you have the discipline to handle the pressure.
Don't just play the game. Master the mind that controls it.

Founder
I'm a freshman at the University of Austin (UATX) and Founder of ZenQuill, a mental training app for athletes and sports teams.
After completing Le Wagon's coding bootcamp, I built ZenQuill and later took it through Founder University. I combined my background in AI with a passion for mental wellness to build tools that actually reach people, especially those who'd never set foot in a therapist's office.
ZenQuill helps athletes journal, meditate, and train their minds the same way they train their bodies.