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Health monitoring · IoT · Machine learning · 2026

VitaLink AI

A real-time health-monitoring system with responsive dashboards, authenticated FastAPI services, ESP32 sensor streaming, and anomaly detection.

Role
Full-stack and machine-learning developer
Services
Responsive dashboards · Backend services · Real-time telemetry · Anomaly detection
Built with
Next.js · FastAPI · ESP32 · Scikit-Learn · PostgreSQL · Tailwind CSS
VitaLink AI dashboard displayed on a laptop beside its wearable health sensor

The system

VitaLink AI is a real-time health-monitoring project developed from October 2025 to January 2026. It connects ESP32 sensor data to responsive web interfaces for live monitoring, historical review, data visualization, and administration.

The implementation

I developed a landing page, student dashboard, and admin dashboard with Next.js and Tailwind CSS. A FastAPI backend handles authentication and communicates with the ESP32 and frontend through WebSockets, providing secure access and real-time sensor streaming.

Anomaly detection

An Isolation Forest model built with Scikit-Learn processes sensor data to identify abnormal heart-rate and motion patterns. Detected anomalies surface as health alerts in the dashboards alongside live and historical readings.