About

This project presents an AI-driven decision intelligence system designed to optimize capital allocation across multiple business units in an enterprise.

The system analyzes key financial and strategic indicators such as ROI, growth rate, market demand, operating cost, risk exposure, and strategic priority. These metrics are normalized and combined using a risk-adjusted scoring framework to ensure fair comparison across business units.

Based on the computed capital allocation scores, the model generates percentage-based investment recommendations that reflect both short-term profitability and long-term strategic value.

The solution enables CEOs, CFOs, and strategy teams to make transparent, data-driven capital investment decisions, reducing bias and improving resource utilization. The approach is scalable and can be extended to real-world corporate financial planning and portfolio optimization scenarios.