datican-run-undergraduates-competition/PHQ-9-Depression-Detection-Tool

Domaine:

healthcarenatural language processing

Type de record:

softwaretools

Créateur:

dat

Hôte:

This is a multilingual PHQ-9 depression screening tool built with Streamlit and Gemini AI. It supports English, French, Yoruba, Igbo, and Hausa, offering AI-driven insights with full user privacy. # PHQ-9-Depression-Detection-Tool # PHQ-9 Mental Health Screening Tool ## Overview This project is an advanced, multilingual PHQ-9 (Patient Health Questionnaire-9) mental health screening tool built with Streamlit and enhanced with AI capabilities. The application provides professional-grade depression screening in multiple languages, making mental health assessment more accessible to diverse communities. ## Key Features - 🌐 Multilingual Support: - English - French - Yoruba - Igbo - Hausa - 🤖 AI-Powered Analysis: - Personalized insights and recommendations - Context-aware response analysis - Professional-grade assessment summaries - 📊 Comprehensive Assessment: - Standard PHQ-9 questionnaire - Real-time scoring - Severity level classification - Detailed response breakdown - 🎯 User-Focused Design: - Intuitive interface - Mobile-responsive layout - Progress tracking - Encouraging messages throughout - 🔒 Privacy & Security: - Secure data handling - No personal data storage - Private assessment experience ## Medical Features - Professional depression screening using the validated PHQ-9 questionnaire - Severity assessment levels: - Minimal (0-4) - Mild (5-9) - Moderate (10-14) - Severe (15-27) - Crisis resources and professional recommendations - Educational mental health resources ## Technical Stack - Frontend: Streamlit - AI Integration: Google Generative AI (Gemini) - Styling: Custom CSS - Language Support: Internationalization system ## Setup Requirements 1. Python 3.6 or higher 2. Streamlit 3. Google Generative AI package 4. Environment Variables: - GEMINI_API_KEY (for AI analysis features) ## Installation ```bash pip install -r requirements.txt ``` ## Usage 1. Set up environment variables: ```bash export GEMINI_API_KEY='your-api-key' # For Unix/Linux set GEMINI_API_KEY='your-api-key' # For Windows ``` 2. Run the application: ```bash streamlit run app.py ``` ## Medical Disclaimer This tool is for screening purposes only and does not replace professi …

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