الرعاية الصحية الغير مؤذية – AI-Based Assessment & Research App
Ghofran Kareem
Published
Non-Harmful Child Care is a research-based mobile application developed for a Master’s degree academic study, focusing on evaluating AI-generated answers within controlled and reliable sources.
The app is designed as a multi-stage assessment system, where users progress through structured phases containing AI-based questions and answers.
The AI responds to questions strictly based on predefined academic and trusted sources, ensuring accuracy and ethical compliance for research purposes.
🔹 Key Features:
AI-powered question & answer system
Source-restricted AI responses
Multi-stage learning and assessment flow
Stage-based quizzes generated from previous questions
Final comprehensive assessment covering all stages
Progress tracking and structured evaluation
Clean and research-oriented user interface
🔹 Technical Stack:
Flutter (Cross-platform iOS & Android)
AI API Integration
Secure data handling for academic research
Google Play & Apple App Store deployment
🔹 Status:
Live and published on Google Play and Apple App Store
This project highlights my experience in building AI-driven educational and research applications with structured assessments and real-world deployment.