Project-Objectives on the online web fraud detection.pptx

it is based on the web fraud detection i which we learn about the uswing django and no sql to make classify the frauds

1. Project Objectives Enhance fraud detection, apply secure coding, classify emails, and enforce access control. cc by caleb curry

2. Methodology 1 Fraud Detection Data cleaning to model training using Pandas. 2 Web Security Applying security measures with Django and OWASP. 3 Email & Access Control ML classification workflow and access control design.

3. System Design Fraud Detection Data pipeline diagram showing the entire process. Web Security Architecture diagram with secure coding and database.

4. Performance Comparison Fraud Detection Table comparing precision, recall, and accuracy. Web Security Bar chart comparing vulnerabilities before and after. ML Models Line graph comparing Naive Bayes and Logistic Regression.