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smart-healthcare

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A Personalized Federated Learning (PFL-HCare) framework for IoT healthcare. Features MAML meta-learning, Differential Privacy (RDP), and gradient quantization for efficiency. Includes a React/FastAPI dashboard for real-time monitoring.

  • Updated Apr 20, 2026
  • Python

vitalguard-ai is a smart patient monitoring system built on esp32 and iot sensors, enhanced with artificial intelligence for real-time monitoring, daily health report generation, anomaly detection, and predictive risk analysis, with optional computer vision-based fall detection.

  • Updated Feb 5, 2026

Repository for the journal article, 'FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices', Mahbub Ul Alam, Rahim Rahmani. Sensors 23, no. 2: 970, https://doi.org/10.3390/s23020970.

  • Updated May 5, 2025
  • Jupyter Notebook

AI-powered medical report analyzer that extracts, interprets, and summarizes clinical reports using OCR, NLP, and intelligent health insights. Built with FastAPI, modern frontend technologies, and automated report processing pipelines for smarter healthcare assistance.

  • Updated May 23, 2026
  • TypeScript

Repository for the journal article, 'Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application', Mahbub Ul Alam, Rahim Rahmani. Sensors 21, no. 15: 5025, https://doi.org/10.3390/s21155025.

  • Updated May 6, 2025
  • Python

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