This Lacrosse Shot Speed Tracking App is a iOS and Apple Watch integrated solution designed for athletes to monitor and enhance their lacrosse performance. It uses real-time motion data from the Apple Watch to calculate shot speed, analyze form, and provide performance insights through an intuitive mobile dashboard. With gesture-based controls, multi-shot tracking, and in-depth analytics, the app delivers personalized feedback and training optimization. Premium features and a subscription model make it a scalable product with strong monetization potential.

The project aims to develop a web-based dynamic survey platform designed to capture consumer lifestyle preferences and habits. The survey will consist of four sections with approximately 20 questions and will incorporate conditional logic, ensuring that questions adapt based on user responses. If a respondent selects "yes" to a specific question, additional relevant questions will follow, while a "no" response will allow them to proceed to the next section. The survey should be easily accessible via email invitations or be completed directly by operators, ensuring flexibility in data collection.

The system should support data retrieval, reporting, and potential integration with marketing automation tools, making it a scalable and user-friendly solution for consumer engagement.

The app aims to help individuals with sleep issues like difficulty falling asleep, waking up too early, or trouble resuming sleep by analyzing sleep sounds through the device’s microphone. It will leverage AI to classify sleep sounds, detect snoring, and assess sleep apnea risk, providing personalized insights and recommendations. Using AI-driven analysis, the app will offer real-time reports and track sleep patterns, all while functioning offline. Additional features include meditation videos, sleep tracking, and relaxation tools to improve sleep hygiene.