I already have a functioning real-estate valuation model; what it lacks are compelling visuals and an automatically generated financial report. Your task is to step in, refine the existing codebase, and deliver two clear upgrades: 1. Interactive line-chart dashboards • Three forecast windows: 6 months, 1 year, and 1.5 years • Smooth, zoomable interaction (Plotly, Bokeh, or another browser-based library is fine as long as it stays lightweight and can be embedded in Jupyter/HTML) • Clean legend, axis labels, and a simple way to toggle different neighbourhoods or property types if the data include them. 2. A polished financial report Once the predictions run, a report should be compiled automatically with key metrics (expected appreciation, cumulative returns, risk bands, any assumptions pulled from the model). I’m open on final format—PDF, Excel, or Word—so structure the output layer so I can switch formats with minimal edits. Acceptance criteria • Updated, well-commented source code that reproduces current predictions and adds the above features. • One sample run showing all three time horizons in an interactive viewer and a generated report saved to disk. • Brief read-me explaining any new dependencies and steps to reproduce. The core model is written in Python and already lives in a Git repo; I’ll provide access as soon as we agree to proceed.