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Project Case Study

CryCare – Smart Infant Monitoring System

An AI-powered IoT healthcare solution designed to help parents understand and respond to infant needs through intelligent cry analysis. CryCare uses voice recognition technology, machine learning, and generative AI to classify different baby cries such as hunger, pain, sleepiness, and burping, then provides real-time recommendations and caregiver guidance. The platform combines IoT hardware, cloud connectivity, AI-driven insights, remote monitoring, and real-time alerts to improve infant care and give parents greater confidence in understanding their baby's needs.

Tech Stack

PythonFlaskGoogle Gemini APISocket.IONodeMCU ESP8266ArduinoDFRobot DF2301QHTMLCSSJavaScriptBlynkIoTMachine LearningVoice RecognitionReal-Time Monitoring

Project Focus

An AI-powered IoT healthcare solution designed to help parents understand and respond to infant needs through intelligent cry analysis. CryCare uses voice recognition technology, m...

Technology Profile

This build brings together Python, Flask, Google Gemini API, Socket.IO, NodeMCU ESP8266, Arduino, and additional supporting tools.