Child well-being is crucial for sustainable development, as highlighted in this report from the Global Forum for Sustainable Transformation. Utilizing data from the National Family Health Survey (NFHS-5) along with latest real time AI-driven health diagnostics and machine learning (ML), we identify effective strategies for enhancing child health and wellbeing.
The NFHS-5 data reveals important nutrition, health, and protection indicators, showing both advancements and ongoing challenges. Addressing these disparities through targeted policies can create meaningful improvements.
Emerging technologies like AI and ML provide promising solutions by enabling predictive analysis and personalized interventions, which help allocate resources effectively to vulnerable populations. Similarly, integrating DeepTech and GovTech solutions improves governance and service delivery, fostering transparency and efficiency in child welfare programs. Collaboration among governments, the private sector, and civil society is essential for leveraging these advancements.
This report underscores the need to prioritize child well-being in the global development agenda while recognizing the challenges of adopting new technologies. By combining evidence, innovative tools, and partnerships, we can ensure every child is nurtured and empowered to reach their full potential.
