SALAM-SIHA is a multimodal AI-powered health triage and medical orientation app for Chad using symptoms, video, and respiratory audio.
# 🩺 SALAM-SIHA – Multimodal AI Health Triage for Chad
**SALAM-SIHA** is a multimodal AI-powered health screening and medical orientation assistant designed specifically for low-resource environments in Chad. It helps users assess health risks using symptoms, facial video, and respiratory audio, and guides them toward appropriate medical care.
**This application is NOT a diagnostic tool. It provides only risk estimation and medical orientation.**
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## 🌍 Motivation
In many parts of Chad, access to healthcare is limited by:
- Long distances to hospitals
- Shortage of medical professionals
- Limited infrastructure and internet connectivity
Simple symptoms such as fever, cough, diarrhea, or fatigue can become life-threatening if medical care is delayed. **SALAM-SIHA** was created to support early health decision-making and improve timely access to professional care.
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## 🚀 Key Features
- ✅ Multimodal AI analysis (Symptoms + Video + Audio)
- ✅ Safe health risk assessment: **Low, Medium, High**
- ✅ Immediate hygiene & safety recommendations
- ✅ Hospital & clinic orientation by city in Chad
- ✅ Mobile-first design
- ✅ Optimized for **low-bandwidth environments**
- ✅ Privacy-friendly (no medical diagnosis stored)
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## 🧠 Powered by Gemini Multimodal AI
SALAM-SIHA uses:
- **Text symptoms**
- **Facial video** (for pallor, dehydration signs, distress)
- **Respiratory audio** (cough, breathing patterns)
These inputs are analyzed using **Gemini’s native multimodal reasoning** to provide:
- Risk level
- Potential health concerns (non-diagnostic)
- Immediate actions
- Hygiene & prevention guidance
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## 🏥 Health Focus Areas
The system is designed to screen risk related to common health issues in Chad such as:
- Malaria
- Cholera
- Tuberculosis
- HIV
- Diabetes
- Malnutrition
- Dehydration
- Respiratory infections
It **never confirms a disease** — only risk estimation.
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## 📱 Target Users
- Rural populations
- Low-income communities
- Community health …