Sleep Camera Vision System

## Overview

The Sleep Camera Vision System is a personal project designed to provide comprehensive sleep tracking by combining wearable data with computer vision. The system synchronizes heart rate data from an Apple Watch with real-time video analysis to monitor sleep patterns and provide insights.

## Features

- Integration of Apple Watch heart rate data

- Real-time video analysis of sleep movements and patterns

- Data synchronization pipeline for comprehensive tracking

- LLM integration for personalized sleep quality feedback

- Comparison of user data with scientific research

## Technologies Used

This project leverages computer vision techniques, machine learning for pattern recognition, and data integration from wearable devices. The system uses a custom pipeline to synchronize different data sources and provide meaningful insights.

## Results

- Successfully integrated multiple data streams for comprehensive sleep analysis

- Created a system that provides personalized feedback based on scientific research

- Developed a non-invasive sleep monitoring solution