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In most real-time scenarios such as emergency first response or a patient self-monitoring using a wearable device, it is likely that accessing a healthcare physician for assessing potential vital sign anomalies and providing a recommendation will be impossible; thus potentially putting the patient at risk. Leveraging the latest advances in Natural Language Processing (NLP), this study presents a research-driven design and development of a cloud-based conversational AI platform trained to predict vital signs anomalies and provides recommendations from a dataset created by physicians.
To reinforce the learning of the virtual assistant, the Conversation Driven Development (CDD) methodology has been adopted to involve end users in the testing process in the early phase. The proposed platform will help to manage the consequences of low physician-patient ratios, especially in developing countries.
Drivers who are drowsy or tired present a serious danger to other drivers on the road because they are less vigilant and are more likely to fall asleep at the wheel. The lack of an effective real-time system that can consistently identify warning signs of driver fatigue and quickly issue alarms to p...
Traditional gate opening methods involve manual operation, often requiring users to exit their vehicles, which can be inconvenient and time-consuming. These methods are also vulnerable to security threats and lack automation capabilities. The "Smart Gate Automatic Operated based on IoT" project add...
This research, present the operation, construction, design and fabrication of the OFF-ROAD WHEELCHAIR OF DISABLED TOURIST. In general, for access to public buildings, it is frequently necessary to adapt older buildings with features such as ramps, elevators in order to allow access by wheelchair use...
The project aims to design and prototype a two-way communication smart meter for smart grid applications using Arduino Uno, voltage sensor, relay, power supply, regulator, PCB, buzzer, and GSM module. The proposed system will monitor the voltage level of the power line and provide real-time informat...
This project presents the design, implementation and characterization of a hardware platform for Fuel Management System (FMS) for fuel carrying vehicles. The primary design goal is to devise a system capable of monitoring the fuel level in real time. This system is proposed for fuel carrying road...
This IoT-based conversational AI Recommender assistant for vital sign predicted anomalies project can be implemented using components available at SoftTech Supply (STS) in Kigali, Rwanda. Whether you need Arduino boards, Raspberry Pi, ESP32, ESP8266, sensors, microcontrollers, or any other electronic components, we have everything in stock. STS provides complete project support including component selection, circuit design, programming assistance, and troubleshooting. Our team can help you implement this project from start to finish. Visit our electronics shop or contact us for personalized consultation. We serve students, hobbyists, and professionals across Rwanda with quality components and expert technical support.