Automated Revenue Projection Model with Interactive Sensitivity Analysis

Create a Node.js script that generates comprehensive financial projections using Monte Carlo simulation techniques. The model should accept input variables like customer acquisition cost, average contract value, churn rate, and growth assumptions. Implement a modular design that allows for dynamic recalculation and visualization of potential revenue scenarios across 3-5 year forecasts. Include probability distribution calculations and generate an interactive HTML dashboard using Chart.js that allows stakeholders to adjust input parameters in real-time.