A low-powered IoT device that tracks speech patterns and notifies parents via WhatsApp
Speech Tracker is a tool designed to assist in speech therapy and progress monitoring. It records sessions, analyzes speech patterns using machine learning, and provides visual feedback to users in real-time.
This project was built as my final year project in Electronic Engineering to help parents in monitoring their children's speech development. The device is designed to be low-cost and easy to use, making it accessible for families without access to regular speech therapy sessions.
I learned how to deploy machine learning models on a lightweight device and integrate it with sensors for real-time data collection. I also gained experience in IoT communication protocols to send notifications effectively.
System diagram will be updated soon.