An AI-first sleep improvement app that combines advanced algorithms with IoT devices to address issues like insomnia, early waking, and disrupted sleep.
AI models analyze sound detection (snoring, sleep talking, ambient noise) and a 2-week sleep diary to provide personalized insights, dream analysis, and tailored recommendations.
IoT integration with smart masks and wearables (Apple/Android watches) tracks SpO? in real time, triggering vibration alerts to prevent oxygen drops and support early OSA intervention.
Users can connect with sleep experts via AI-enabled chat, audio, and video, while providers manage appointments and communications through a dedicated web interface.
The platform follows a subscription model with free and premium tiers, enabling sleep diagnostic centers to deliver AI-driven insights, IoT monitoring, and expert support for better sleep health.

Application aims to revolutionize the digital fitness landscape by offering a smart, AI-powered mobile application that delivers hyper-personalized workout experiences. This cross-platform app will empower users to achieve their health and fitness goals through dynamic daily workout plans, real-time posture feedback, and seamless integration with wearable devices such as Fitbit and Apple Watch. The application leverages advanced technologies like OpenAI for adaptive workout generation, PoseTracker for form analysis, and biometric data from wearables to ensure each user receives the most effective and safe workout guidance. Users will be guided through a streamlined onboarding experience that personalizes their fitness journey from day one—factoring in goals, experience level, equipment access and any medical conditions.

The project works as a universal password authenticator which simplifies user login and aims to integrate with banking and healthcare apps. The MVP is focusing on non-critical apps like grocery applications or video streaming applications, with potential expansion into high-risk sectors.