Logistics
Autonomous Fleet Management System
The integration of autonomous technologies, artificial intelligence, mobile, and mobile platforms has revolutionized fleet management systems. This work proposes a unified Autonomous Fleet Management System (AFMS) that combines Android-based, AI-based, and Web-based technologies to optimize fleet operations. The system leverages real-time data analytics, machine learning, and cloud computing to enable efficient fleet monitoring, route optimization, predictive maintenance, and decision-making.
Healthcare
Autonomous Patient Health Monitoring System
An autonomous patient health monitoring system leverages advanced sensors, IoT, and AI to continuously track vital signs such as heart rate, blood pressure, oxygen levels, and body temperature. These systems use wearable devices, smart implants, or remote monitoring stations to collect real-time health data, which is analyzed by AI algorithms to detect anomalies and predict potential health risks. Alerts can be sent to healthcare providers and patients, enabling early intervention and reducing hospital visits.