AI-Powered Fake Influencer Detection & Brand Trust Analytics

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Live Dashboard Features

KPI Analytics

• Total Influencers
• Average Engagement
• High Risk Accounts
• Average Trust Score

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Overview Analytics

Top Influencers By Followers

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AI Insights

Engagement Distribution & Anomaly Detection

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Risk Analysis

High Risk Influencers Detection

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Influencer Category Analysis

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Problem Statement

Brands spend millions on influencer marketing, but many influencers have fake followers, low engagement, or suspicious audience behavior.

This project helps detect risky influencers using:

• AI-based trust scoring
• engagement analytics
• machine learning anomaly detection
• interactive dashboard visualization

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Features

• Influencer Trust Score System
• Fake Influencer Detection
• Engagement Rate Analysis
• Machine Learning Anomaly Detection
• Interactive Streamlit Dashboard
• Country-wise Influencer Filtering
• High Risk Influencer Detection
• Download Processed Analytics

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Technologies Used

• Python
• Pandas
• Plotly
• Streamlit
• Scikit-learn
• Seaborn
• Matplotlib

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Machine Learning Used

Isolation Forest

Used for:

• anomaly detection
• unusual influencer behavior analysis
• suspicious engagement pattern detection

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Dashboard Features

KPI Cards

• Total Influencers
• Average Engagement
• High Risk Accounts
• Average Trust Score

Interactive Visualizations

• Followers Analysis
• Engagement Distribution
• AI Anomaly Detection
• Category Distribution
• High Risk Influencers Table

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Business Insights

• Large follower count does not guarantee high engagement.
• Low engagement influencers may indicate fake audience behavior.
• High anomaly influencers require manual brand verification.
• Trust score helps brands identify safer collaborations.

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How To Run

Install Requirements

pip install -r requirements.txt

Run Dashboard

python -m streamlit run dashboard/dashboard.py

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Future Improvements

• Real-time Instagram API integration
• NLP-based comment analysis
• Advanced AI fraud detection
• Brand collaboration recommendation engine
• Live influencer monitoring system

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Live Dashboard

🔗 https://influenceguard-ai.streamlit.app

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Project Author

Aditya Singh