الرعاية الصحية الغير مؤذية – AI-Based Assessment & Research App

Ghofran Kareem
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  • Project creator

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.