Elder-Care

ElderCare: IoT-Enabled Fitness Tracker for Elderly Care 🩺💡 ElderCare is an IoT-based fitness tracker designed to monitor the health and safety of elderly individuals. Combining cutting-edge AI/ML technologies with wearable devices, this project ensures proactive health monitoring and early detection of potential risks.
🚀 Features
IoT-Enabled Wearable Device
Vital Monitoring: Tracks heart rate, body temperature, and oxygen levels.
Fall Detection: Detects falls and unusual movements to ensure immediate assistance.
AI/ML-Driven Insights
Behavior Analysis: Identifies deviations in daily routines for anomaly detection.
Health Risk Prediction: Provides early warnings for potential health issues based on patient history.
Movement Analysis: Detects falls, stumbles, seizures, and more using OpenCV.
Interactive Website
Real-Time Data: Displays live health stats in an intuitive UI.
Responsive Design: Optimized for various devices with seamless navigation.
Dynamic Animations: Enhances user experience with smooth transitions and visuals.
💻 Technologies Used
IoT Hardware: Arduino-based wearable devices.
Machine Learning: Predictive analytics and movement detection using OpenCV.
Web Development: React.js for a visually appealing, interactive frontend.
Data Storage: Cloud integration for secure and scalable data handling.
🌟 Key Objectives
Promote independent and safe living for elderly individuals.
Facilitate health monitoring and emergency response.
Leverage AI and IoT for better elder care solutions.