Influencer Fraud Detection

Project Overview

A machine learning-based system designed to identify fake influencers by analyzing engagement patterns, follower growth, and audience interaction metrics.

Features

• Fraud Detection Score
• Engagement Analysis
• Anomaly Detection
• Data Visualization
• Machine Learning Predictions

Technologies Used

• Python
• Pandas
• NumPy
• Scikit-Learn
• Machine Learning
• Data Analysis

Challenges Faced

Handling large datasets, selecting suitable machine learning algorithms, and interpreting engagement metrics accurately.

What I Learned

Data preprocessing, anomaly detection, machine learning workflows, and model evaluation.