AI-Driven Project Portfolio Optimization for Sustainable Development: A Decision Support Framework

Artificial intelligence plays significant role in financial sector especially in sustainable development and financial planning. It replaces the conventional type of financial planning under portfolio optimization of projects through artificial intelligence techniques including deep learning robot advisors machine learning and in natural language processing. The study involves the decision support framework for AI driven project portfolio optimization for sustainable development. The applications of decision-making tools enabled with artificial intelligence helps in investment planning and projects with several algorithms it helps in risk management algorithmic trading prediction and forecasting of market securities asset management and personalised advice. The study utilises multi criteria decision making by integration of machine learning models for decision making and predictive analytics. It optimises the resource allocation over the projects and the balance the sustainability goals with risk factors. The real time monitoring is recorded for expected outcomes after implementation and the performance matrix for the key components are recorded for accuracy precision and recall. The key components such as performance efficiency and automation adaptability and flexibility and cost saving provided accuracy ranging from 90% to 95%.