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Speech Tracker

A low-powered IoT device that tracks speech patterns and notifies parents via WhatsApp

Speech Tracker Device

Project Overview

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.

Technologies Used

Arduino C/C++ IoT Sensor Integration Machine Learning

Project Context

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.

Key Features

  • Audio Recording & Analysis: Captures audio and processes it in the module that has been trained.
  • Real-time Feedback: Visualizes speech clarity and volume instantly.
  • WhatsApp Notifications: Sends progress updates to parents via WhatsApp.
  • Classifications: Classifies speech patterns and provides feedback.

What I Learned

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

System diagram will be updated soon.