To explore the current methods used in credit scoring and risk assessment in the financial industry.
To examine the potential benefits of incorporating Artificial Intelligence (AI) into the credit scoring and risk assessment processes.
To assess the impact of educational data on improving the accuracy and efficiency of credit scoring models.
To identify the challenges and limitations of using AI in credit scoring and risk assessment in the context of Education.
Conduct a literature review on credit scoring, risk assessment, and AI in the financial industry.
Analyze the existing methodologies and technologies used in credit scoring and risk assessment.
Collect and analyze educational data to understand its impact on credit scoring and risk assessment models.
Compare and contrast the effectiveness of traditional methods versus AI-based approaches in credit scoring and risk assessment.
Evaluate the challenges and ethical considerations in implementing AI in credit scoring and risk assessment.
