Cardiac surgery is a critical intervention for many individuals, yet postoperative recovery poses significant challenges, especially for patients in rural or underserved areas. These challenges include access to healthcare facilities, socioeconomic barriers, low patient compliance with rehabilitation protocols, and many more. Current solutions do demonstrate promise, such as Enhanced Recovery After Surgery (ERAS) protocols, but are difficult to implement due to resource constraints and patient-specific factors. This paper proposes a novel technology-driven solution that integrates ubiquitous computing, machine learning techniques, cloud computing, and mobile/web based applications to enhance post cardiac surgery recovery. The wearable device monitors physiological parameters such as heart rate, respiration rate, and body temperature, while the app provides real-time feedback on physical therapy exercises using machine learning algorithms. Additional features include medication reminders, interactive therapy instructions, and remote communication with healthcare professionals via a dashboard and video call functionality. This solution addresses access disparities, boosts patient compliance, and minimizes financial and logistical burdens, thereby addressing common challenges with post surgery recovery and improving the whole process.