Final submission by the Team Champ in the Hedera Hackathon 2025, Ibadan, Oyo State, Nigeria
# Taimako - Your AI Health Companion 🏥
Taimako is an AI-powered health assistance mobile application built for the Hedera Africa Hackathon 2025. The app uses conversational AI, location-specific health insights, and blockchain-verified medical predictions to provide accessible healthcare guidance for users across Nigeria.
## 🎯 Key Features
### AI-Powered Health Assistant
- **Conversational AI**: Chat with an intelligent health assistant using Groq's Llama 3.3 model
- **Symptom Analysis**: Describe your symptoms naturally and receive AI-powered health insights
- **Context-Aware**: Remembers previous conversations and adapts responses based on your health profile
- **Follow-up Questions**: Intelligent follow-up questions to better understand your condition
### Location-Specific Insights
- **State & LGA Integration**: Get health advice specific to your location (all 36 Nigerian states + 774 LGAs)
- **Local Disease Awareness**: Information about regional health concerns and common illnesses
- **Emergency Services**: Quick access to nearby emergency services based on your location
### Blockchain Verification
- **Hedera Integration**: All health predictions are logged on the Hedera Consensus Service (HCS)
- **Immutable Records**: Transparent, verifiable health prediction history
- **User Privacy**: Sensitive data is hashed before blockchain storage
- **Transaction Verification**: View your predictions on Hashscan explorer
### Smart Health Predictions
- **Nigerian Medical Dataset**: Trained on local health conditions (Malaria, Typhoid, Lassa Fever, etc.)
- **AI Feedback System**: Like/dislike buttons to improve AI accuracy
- **Confidence Scoring**: Understand prediction reliability with confidence percentages
- **Urgency Assessment**: Automatic classification of medical urgency (low/moderate/high/critical)
### User Experience
- **Profile Management**: Store your basic health information and preferences
- **Conversation History**: Access past health conversations
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