π₯ Kliniq - AI-Powered Multilingual Healthcare Platform for Nigeria. Breaking language barriers with N-ATLaS, our custom AI for symptom triage in English, Hausa, Igbo, and Yoruba. Built for Awarri Developer Challenge 2025.
π₯ Kliniq
AI-Powered Multilingual Healthcare Platform for Nigeria
Breaking language barriers in healthcare through intelligent AI triage, voice-enabled consultations, and seamless patient-clinician communication in English, Hausa, Igbo, and Yoruba.
View Demo β’
The Problem β’
Our Solution β’
Repositories β’
Quick Start
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## π₯ Demo
> *Add demo video link or screenshots here*
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## π The Problem
In Nigeria, **over 60% of the population** speaks indigenous languages as their primary language, yet healthcare systems operate predominantly in English. This creates critical barriers that cost lives:
| Challenge | Impact |
|-----------|--------|
| π« **Language Barrier** | Patients can't accurately describe symptoms |
| β° **Delayed Care** | Miscommunication leads to misdiagnosis |
| π₯ **Access Inequality** | Rural and elderly populations excluded |
| π **Information Gap** | Medical records incomprehensible to patients |
| π©ββοΈ **Clinician Overload** | Routine queries overwhelm healthcare workers |
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## π‘ Our Solution
**Kliniq** is a comprehensive healthcare platform powered by **N-ATLaS** (Nigerian-Adapted Translation and Language System) β our custom multilingual AI model fine-tuned for Nigerian languages and medical terminology.
### π§ N-ATLaS: The AI Engine
Our custom LLM understands and responds in:
- π¬π§ **English**
- π³π¬ **Hausa** (spoken by 70M+ Nigerians)
- π³π¬ **Igbo** (spoken by 45M+ Nigerians)
- π³π¬ **Yoruba** (spoken by 45M+ Nigerians)
### β¨ Key Features
**π€ For Patients**
- π¬ AI health assistant in your language
- ποΈ Voice-first interface with transcription
- π₯ Link to multiple hospitals via codes
- π
Book and manage appointments
- π Track health vitals and history
**π©ββοΈ For Clinicians**
- π Smart dashboard with AI triage
- π₯ Patient management with full history
- π AI-powered patient analysis
- β
Appointment approval workflow
- π Gamification for engagement
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## π¦ Repositories
This project consists of two repositories: β¦