Abstract
Abstract: Income Tax plays an important role in the developmental activities of a nation. However some companies try to avoid or minimize their tax by showing reduced profits. Such companies can be identified by studying and analyzing the balance sheet indicators like: Sale Volume Vs. Purchase Volume, Employee Growth Vs. Taxpaid, Total Sales Vs. Taxpaid, Claims Crediting, Net Income Vs. Tax Increase, Gross Loss Vs. Tax, Inventories Vs. Direct Income, Gross Revenue Vs. Taxpaid, Raw Material Purchase Cost (RMPC) Vs. Final Product Sales (FPS) and Fixed Assets Vs. Taxpaid. This project aims at Tax Evaders detection by using a dataset, containing the above mentioned identification factors in the balance sheet. The analysis is carried out by using AdaBoost classifier and also by using a Deep learning model
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