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.

ZENFLOWS AI Mail Automation Software is an AI-driven email response system that automates customer interactions and manages incidents requiring manual intervention. It leverages OpenAI GPT-3.5 Turbo, trained on FAQs with semantic similarity matching, to provide accurate responses.

Emails with low AI confidence scores are flagged for manual review, ensuring accuracy. The system securely integrates with Gmail, Outlook, and IMAP/SMTP using OAuth 2.0. Additionally, AfterShip API integration automates order tracking responses, while a React.js-based dashboard offers real-time analytics on AI performance. Subscription-based plans are managed via Stripe integration.

The objective of proposed application is to enhance the management of chronic care disease by facilitating comprehensive data collection, treatment adherence, and patient-provider communication. The application aims to address the current lack of real-world data and studies in urology. It enables healthcare providers to monitor patient-reported symptoms, track pain trends, and assess treatment efficac Doctors can access a dashboard displaying all  patients, prioritize cases based on symptom severity, and receive alerts for critical cases. Patients can easily log symptoms, monitor their  scores, and receive reminders for medications and lifestyle changes, ensuring better adherence to treatment plans. It enables secure messaging between patients and providers, allowing for timely updates, treatment adjustments, and symptom reports. Patients can access personalized educational materials, including multimedia resources and chatbot support, to manage their condition effectively. The platform aims to deliver personalized, data-driven care, improve patient outcomes, and contribute valuable real-world evidence to further research and understanding of the problem