Enhancing Financial Transaction Security through AI and Machine Learning-based Fraud Detection Systems
Plag ProFinancial TechnologyProject Objectives:
To explore the use of Artificial Intelligence (AI) and Machine Learning (ML) technologies in enhancing financial transaction security within educational institutions.
To design and develop a fraud detection system using AI and ML algorithms to identify and prevent fraudulent activities in financial transactions.
To evaluate the effectiveness of the AI and ML-based fraud detection system in improving the overall security of financial transactions in educational settings.
Project Tasks:
Conduct a literature review on the current trends and challenges in financial transaction security within educational institutions.
Identify and review existing AI and ML-based fraud detection systems used in other industries for reference.
Design and develop an AI and ML-based fraud detection system tailored to the unique needs of educational institutions.
Test and evaluate the effectiveness of the fraud detection system using simulated transaction data.
Prepare a research report detailing the findings, implications, and recommendations for enhancing financial transaction security through AI and ML technologies in education.
