A FINANCIAL STATEMENT ANALYSIS

Abstract

Financial Statement Analysis has evolved from manual spreadsheet-based work to advanced, technology-driven processes. With the vast amount of financial data generated by companies today, traditional methods often fall short in uncovering deep insights or detecting anomalies. This project aims to explore the use of Machine Learning (ML) and Deep Learning (DL) algorithms in analyzing and predicting financial performance from company statements. By applying models such as Linear Regression, Random Forest, LSTM, and ANN, we can forecast revenue trends, classify financial health, detect fraudulent patterns, and automate ratio analysis. The analysis not only improves the accuracy of forecasting but also enables intelligent decision-making for investors and financial analysts. This approach demonstrates the potential of AI to revolutionize how financial statements are understood and utilized