This project is focused on building a mobile-responsive, AI-powered service management platform for a US-based vehicle maintenance service center. The platform will provide customers with personalized, mileage-based service recommendations, streamline appointment scheduling, and ensure seamless data synchronization through integration with X-Time, a leading automotive service software.

The Chat project involves the implementation of dynamic and interactive data visualization features, specifically focusing on Bar Charts and Pie Charts. These charts are designed to display multiple measures with customizable display options, enhancing the user's ability to analyze and interpret data effectively.

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.