Building SDG Apps with AI focuses on developing intelligent software applications that leverage Artificial Intelligence (AI) to support the achievement of the Sustainable Development Goals (SDGs) established by the United Nations. These applications are designed to address global challenges such as poverty, hunger, healthcare accessibility, quality education, clean energy, climate change, and sustainable economic growth through data-driven and technology-enabled solutions. AI technologies, including Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, and Predictive Analytics, empower SDG applications to process large amounts of data, identify trends, make accurate predictions, and automate complex tasks. By integrating these technologies into mobile, web, and cloud-based platforms, developers can create smart applications that enhance decision-making, improve service delivery, and maximize social impact. For example, AI-powered healthcare applications can assist in disease detection, patient monitoring, and telemedicine services, contributing to improved public health outcomes. In education, intelligent learning systems provide personalized content and adaptive assessments that support inclusive and quality learning experiences. In agriculture, AI applications help farmers optimize crop production, monitor soil conditions, and manage resources efficiently, thereby supporting food security and sustainable farming practices. Environmental sustainability is another key area where AI-driven SDG apps can make a significant impact. Applications can monitor air and water quality, predict natural disasters, manage renewable energy resources, and support climate change mitigation efforts. Smart city solutions further utilize AI to improve transportation, waste management, energy efficiency, and urban planning.