Electrical Electronics Engineering Project through Python Matlab

• Develop a realistic virtual wearable-sensor layer using real physiological recordings. • Build a software-based WBAN model containing ECG, PPG, SpO2, activity, and other virtual sensor nodes. • Develop wireless channel, mobility, interference, energy, latency, and packet-delivery models. • Develop baseline routing and resource-allocation algorithms. • Develop a deep-reinforcement-learning controller for intelligent routing, transmission power, scheduling, or resource allocation. • Develop AI models for physiological abnormality and health-risk prediction. • Develop multimodal AI using combinations such as ECG, PPG, SpO2, and activity information. • Compare edge processing with cloud processing. • Create a healthcare-aware cross-layer mechanism in which health risk affects communication priority. • Evaluate energy consumption, latency, packet delivery ratio, reliability, network lifetime, computational cost, and AI performance.