# Embedded AI-Based Digi-Healthcare
## 6 Conclusions and Future Work  
In this paper, an IoT-based prototype was developed, and ML and AI techniques were applied to the system. The IoT device enables smart monitoring of human vitals including oxygen saturation, heart rate, and body temperature. Real-time ML inference is enabled at the edge to provide critical notifications to patients, along with the concerned doctors or caretakers in case the patient's vitals exhibit an anomaly. Moreover, the system is interfaced with a live web graphical user interface for doctors as well as patients, for management or monitoring purposes. This friendly user interface securely records the real-time patient's data, and effectively manages it in a secure database. The appointed doctor can easily view the recorded as well as the live information (which also includes the ML inference results) and give their analysis accordingly. The system offers several features in terms of both hardware and software. The system consists of a wearable prototype that is lightweight & compact, can be worn for a long period, can monitor a patient's vitals in real-time without causing discomfort to the patient. The system uses edge computing techniques to make quick and reliable decisions locally. This feature improves the latency and detects any anomalous situation. The best hardware feature of the device is its portability. The device is wireless and hence it can be easily moved from one place to another. The patient and guardian can monitor the patient's vital even from a remote location. The developed system can be proved as a necessity to the medical sector especially in today's time when people rely highly on technology and want a smart solution to their daily life problems. The proposed system not only saves them from their daily checkups but also provides a solution to the medical staff by reducing the burden on them and handling  
Figure 14: Emergency email. Figure 13: Graphical representation of real-time data on the website. the patients remotely. This prototype can be used as an addition in medical camps and areas where developed hospitals are a scarcity. As compared to conventional healthcare, which is only limited to hospitals, the new paradigm of remotely monitoring the patients by exploiting the latest technologies such as IoT and AI is the future of health care and can help us to leverage these technologies and maximize their benefits. More sensors i.e., measured vitals, can be added like an electrocardiogram, blood pressure, or respiration rate as the future work of this project. Especially in the present state of COVID, more decision-making features can be added to the project to detect the possibility of COVID. Since the model is basic, it can be used in integration with other parameters to develop for some designated disease. The AI part of the system can be improved to offer trend analysis on the user's data. Since, medical is a very vast field and different ailments can have similar symptoms, therefore a model with very high precision and accuracy will be required. The prototype in addition to the model and the portal can be used as a primary registration step at hospitals as it will save medical staff time in collecting the information and measuring the vitals. Hence, it will be a good addition for automating the registry system in the hospitals. Moreover, the project can be developed into a remote clinic where the patients can choose between a continuous monitoring or consulting facility. In addition, the project can be commercialized, more units can be developed and deployed at some private or public hospital for the initial testing and if they are successful more units can be implemented and deployed. Therefore, the developed prototype is flexible and can find part of a beneficial component in many applications. Z.A. : Conceptualization, Methodology, Investigation, Writing-Original Draft, Review & Editing; R.M.