Aya Sdour@Ayasd

TranspareX is an advanced platform that leverages AI and blockchain technology to redefine fund management by making it transparent, efficient, and secure. With Ethereum-powered smart contracts, fund releases are automated, reducing delays and minimizing human errors. A user-friendly, real-time dashboard offers stakeholders full visibility into transactions, fostering trust and accountability in financial workflows. Built using React.js for the frontend, Flask for the backend, and integrated with Python (AI/ML) and SQL databases, TranspareX prioritizes secure, tamper-proof fund tracking. Designed for organizations, NGOs, and businesses, this platform bridges technology and trust, setting a new benchmark for financial transparency.

The AI-Powered Youth Engagement Hub uses xAI’s Grok model to analyze and categorize youth-submitted ideas, aligning them with government priorities. Interactive submission portals empower youth to propose solutions with tools like templates and examples. A collaborative decision-making dashboard enables officials to review, discuss, and prioritize ideas through voting, feedback, and analytics. Sector-specific challenges address key areas such as public health, education reform, and climate adaptation, encouraging targeted, innovative solutions. Recognition dashboards showcase implemented ideas, track their impact, and celebrate youth contributions, fostering engagement and measurable progress.

Disease identify and mapping are artificial intelligence use camera to capture and give report output from disease symptoms it's like our doctor watching our health as private healthcare, and give us good response to our disease. It's taking much time to our doctor for take information from patients, it's more useful make this AI trainable for our doctor and the fast respon and massif data collecting make our doctor job's less busy and they can take attention to our health development time by time Starts from now. But in this prototype I'm use a small case with Small data but not in real time condition.