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This project involves designing a wearable health monitoring system that continuously tracks heart rate, body temperature, blood oxygen levels (SpO2), and other vital signs using sensors like MAX30100, DS18B20, and DHT11. The collected data is processed using machine learning algorithms to identify patterns and detect early symptoms of health conditions, such as irregular heartbeats or fever spikes. The system can send alerts via SMS or an app to caregivers and doctors when abnormal readings are detected. Additionally, by integrating this system with cloud platforms like Firebase or ThingSpeak, the patient s historical health data can be stored and analyzed over time to provide predictive health insights. This project is highly beneficial for elderly individuals, patients with chronic diseases, or people in remote areas where access to hospitals is limited.
Security systems are essential for homes, offices, and industries, but traditional systems often rely on simple motion detection, which can generate false alarms. This project implements an AI-based intruder detection system using computer vision and deep learning. The system uses YOLO or OpenCV...
This project integrates soil moisture sensors, temperature sensors, and weather forecasting data to create an intelligent farming assistant. AI algorithms analyze the soil's moisture content and predict the best irrigation schedule, reducing wate...
Traffic congestion is one of the biggest challenges in modern cities, causing delays, pollution, and inefficient fuel consumption. This project leverages computer vision and deep learning to analyze real-time traffic footage from CCTV cameras. The...
With the increasing complexity and volume of network traffic, ensuring the security and stability of computer networks is paramount. Traditional rule-based approaches for detecting anomalies in network traffic have limitations in handling evolving threats and detecting previously unseen patterns. To...
This AI-Based Health Monitoring System 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.