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HealthGuard AI is a multilingual healthcare assistant designed to provide reliable healthcare guidance through both a mobile application and SMS-based communication.
The system analyzes user symptoms using a fine-tuned Llama 3 model integrated with a Retrieval-Augmented Generation (RAG) pipeline. Based on user symptoms, location, and healthcare data, the system generates contextual responses and provides a health risk assessment.
The primary goal is to make healthcare assistance accessible in areas with limited internet connectivity while overcoming language barriers and improving healthcare communication.
The following challenges were identified:
- Lack of healthcare accessibility in rural and remote areas.
- Limited connectivity between patients and healthcare systems.
- Language barriers in healthcare communication.
- Heavy dependence on internet connectivity for existing digital healthcare solutions.
- Poor understanding of medical terminology among users.
- General-purpose chatbots often provide vague or unreliable healthcare information.
HealthGuard AI enables users to communicate through:
- SMS
- Android Application
Each interaction is processed using a fine-tuned Llama 3 model combined with a RAG-based knowledge retrieval system.
The system:
- Analyzes symptoms provided by users.
- Considers the user's geographical location.
- Retrieves relevant healthcare information from a medical knowledge base.
- Generates contextual healthcare guidance.
- Calculates a health risk score.
- Suggests nearby healthcare facilities and pharmacies.
- Multilingual Healthcare Chatbot
- SMS-Based Healthcare Access
- Symptom Analysis
- AI-Powered Risk Assessment
- Nearby Hospital Recommendations
- Nearby Pharmacy Recommendations
- Location-Aware Responses
- Low Internet Dependency
- RAG-Based Medical Knowledge Retrieval
User
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SMS / Android App
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Android SMS Gateway / SMS Receiver
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API Server
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├── RAG Pipeline
└── Fine-Tuned Llama 3 Model
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Response Generation
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SMS Response Back to User