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CareMate Clinical Assistant

CareMate is an innovative clinical assistant designed specifically for the Noongar Indigenous community in Australia. The system uses Natural Language Processing and Machine Learning to understand Noongar language input and provide clinical term extraction and prognosis prediction.

CareMate Clinical Assistant Hero Image
85%
Accuracy
2
Languages

The Problem

Indigenous communities in Australia faced language barriers when accessing healthcare services. Medical professionals needed tools to understand symptoms described in Noongar language and provide appropriate clinical support.

The Solution

Developed a web-based chatbot using NLP techniques to extract clinical terms from Noongar language descriptions. Implemented a Random Forest classifier to predict prognosis based on symptom descriptions, bridging the language gap in healthcare delivery.

Key Features

  • Noongar language to clinical term extraction
  • Prognosis prediction using Random Forest classifier
  • Interactive chatbot interface
  • Symptom tracking and history
  • Multi-language support (Noongar and English)
  • Clinical decision support system

Challenges & Solutions

  • Limited training data for Noongar language
  • Mapping indigenous language terms to clinical terminology
  • Ensuring cultural sensitivity in healthcare recommendations
  • Balancing model accuracy with interpretability

Results & Impact

  • Successfully demonstrated NLP capabilities for indigenous language
  • Achieved 85% accuracy in clinical term extraction
  • Positive feedback from community healthcare workers
  • Potential for expansion to other indigenous languages

Project Info

Role Full Stack Developer & ML Engineer - End-to-end development and ML model training
Timeline August 2025

Technologies

Frontend

React TypeScript

Backend

Python fastAPI NLP Libraries

Other

Machine Learning Random Forest Natural Language Processing

Tags

NLP Machine Learning Chatbot Web Development

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