Uber MOM's Bridge

Project Description (Final)

Final Submission Package
Polished Problem & Solution (100 words)

MOM's Bridge addresses the critical communication barrier faced by non-English-speaking pregnant women in South Korea. These mothers -- speaking Vietnamese, Russian, Chinese, Tagalog, Thai, Japanese, Spanish, French, or German -- risk delayed care when they cannot describe symptoms to Korean-speaking providers. MOM's Bridge uses Google Gemini AI to translate symptom descriptions, analyze medical photos, and convert voice input into Korean doctor-ready summaries in 11 languages. It provides daily fetal movement and contraction tracking with ACOG-based safety advisories, emergency keyword detection with automatic alerts, and community health analytics -- all in the mother's native language.

Word count: ~95
Polished Ethics Statement (150 words)

Data Privacy: MOM's Bridge implements informed consent at registration, transparent data viewing, individual and full account deletion with cascade, JSON data export, and a translated Privacy Policy. Third-party data sharing with Google Gemini API is disclosed. Accessibility: 11 languages with automatic browser detection, screen-reader-compatible HTML lang attributes, and mobile-responsive design. AI Safety: A dedicated AI Ethics page documents the model, prompts, privacy safeguards, bias mitigation, and known limitations. Emergency detection uses deterministic keyword matching -- never AI -- for safety-critical decisions. Daily tracking risk advisories follow ACOG clinical guidelines using rule-based logic, ensuring reliable safety guidance independent of AI. Energy: The app uses lightweight SQLite storage and efficient Gemini Flash Lite model to minimize compute resources while maintaining quality.

Word count: ~118