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AI for Good Innovate for Impact
Use Case- 6: AI for Fraud Detection in NGO Operations: Bringing
Trust with Data-Driven Governance
Organization: 4.6: Finance
Country: India
Contact Persons:
Shivang Rattan, Independent Researcher, rattans123@ gmail .com
Dr. Swapnil Morande, Independent Researcher, swapnil.morande@ unina .it
1 Use Case Summary Table
Item Details
Category Finance
Problem Misuse of funds and fraudulent activities by NGOs, leading to inef-
Addressed ficiencies in government and CSR funding.
Key Aspects of Three-tier AI system for proactive fraud detection:
Solution 1. AI-Based NGO Registration & Verification to detect duplicates
and verify documents,
2. Real-Time Financial & Compliance Monitoring to flag suspicious
activities
3. AI-Assisted Audits & Investigations to prioritize high-risk cases.
Technology Keywords Registration & Verification: OCR, ML (duplicate detection), graph
analytics.
Financial & Compliance Monitoring: ML (anomaly detection), real-
time monitoring, risk scoring.
Audits & Investigations: NLP (sentiment analysis), geospatial anal-
ysis, satellite data.
Data Public
Availability
Metadata (Type of Data) Text, images
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