I have a collection of CSV and Excel files that contain historical Income Statements, Balance Sheets, Cash-Flow Statements, and daily stock prices. I want these files transformed into an interactive dashboard that lets me: • spot long-term trends in each statement, • run side-by-side comparative views (period-over-period or company-to-company), and • generate a forward-looking stock price prediction built on the financial data you’ve just visualised. You are free to use the stack that best suits you—Python (pandas, matplotlib, scikit-learn), Power BI, Tableau, or another modern BI framework—as long as the final result can be refreshed easily when I drop new CSV/XLSX files into a folder. Deliverables 1. A fully functional dashboard file (or hosted link) with clear navigation between Trend Analysis, Comparative Analysis, and Stock Price Prediction views. 2. Clean, well-commented source code / workbook showing data prep, modelling, and visual layouts. 3. A short hand-off note explaining how to update the data and retrain the prediction model when I add fresh files. The project is complete when the dashboard loads from my sample data without errors and each of the three analyses updates automatically after a data refresh.