Smart Fitness Tracker Developing

## **Project Title: AI-Powered Telehealth & Remote Patient Monitoring System**
### **Project Overview**
This project involves the development of a comprehensive, HIPAA-compliant **Full-Stack Mobile Application** designed to bridge the gap between chronic disease patients and healthcare providers. The app integrates real-time biometric data, AI-driven symptom analysis, and high-definition video consultations to provide a 360-degree virtual clinic experience.
### **Key Technical Features**
* **Real-Time Biometric Integration:** Developed custom middleware to sync data from wearable devices (Apple Watch, Fitbit) via **HealthKit** and **Google Fit APIs**, tracking heart rate, SpO2, and sleep patterns.
* **AI Symptom Checker:** Integrated a **Natural Language Processing (NLP)** engine that allows users to describe symptoms and receive preliminary triage advice based on a clinical knowledge base.
* **Encrypted Video Consultations:** Built a secure peer-to-peer video calling feature using **WebRTC** with end-to-end encryption for private doctor-patient sessions.
* **Automated Prescription Management:** A backend system that connects with pharmacy APIs to automate refills and provide users with real-time medication reminders.
* **Dynamic Dashboard:** Designed a high-fidelity **Figma-based** UI that visualizes complex health trends using interactive charts (D3.js/Victory) for both the patient and the physician portal.
### **Technology Stack**
| Layer | Technology |
|---|---|
| **Frontend** | React Native (iOS & Android) |
| **Backend** | Node.js with NestJS Framework |
| **Database** | PostgreSQL (Relational) & Redis (Caching) |
| **Cloud/DevOps** | AWS (EC2, S3, Lambda) & Docker |
| **Design** | Figma (Atomic Design System) |
| **Real-Time** | Socket.io & WebRTC |
### **The Challenges Solved**
The primary challenge was ensuring **zero-latency synchronization** between wearable hardware and the cloud database while maintaining strict data privacy standards. I implemented a microservices architecture to handle high-traffic data ingestion without compromising the app's performance or battery life on the user's device.