marxprop/Winning-Solution-Tunisian-Fraud-Detection-Challenge

Hackathon Solution for the Tunisian-Fraud-Detection-Challenge by DSN-Ilorin # Winning-solution-Tunisian-Fraud-Detection-Challenge-by-DSN-Unilorin This is a private hackathon whose primary purpose is for the members of the DSN Ai+ Club Unilorin to apply what they have learnt. If you are part of Ai+ Club Unilorin contact the club leader for the secret code. Tax fraud is the intentional act of lying on a tax return form with the intent to lower one’s tax liability. Under-reporting is one of the most common types of tax frauds. It consists of filing a tax return form with a lesser tax base. As a result of this act, fiscal revenues are reduced, undermining public investment in much-needed services. The objective of the challenge is to detect tax fraud. This is one of the main priorities of local tax authorities which are required to develop cost-efficient strategies to tackle this problem. Using historical data, a supervised machine learning technique that detects potential fraudulent taxpayers will increase the operational efficiency of the tax supervision process. To read more about the Ministry of Finance of Tunisia, please visit finances.gov.tn Competition Link - zindi.africa