Artificial Neural Networks (ANNs) are becoming useful in e-governance by helping government organizations analyze large amounts of data, automate services, and improve digital interactions with citizens. Government departments handle information from public records, applications, online services, and administrative systems. Neural networks can process this data and identify patterns that can support more efficient public services.
One important application of artificial neural networks is automated government services. AI-based systems can help process routine requests, organize applications, and provide information through digital platforms. This can make online government services easier to access and help reduce repetitive administrative work.
Neural networks can also support citizen support systems. AI-powered chatbots and virtual assistants can process common questions and provide information about government services, applications, and procedures. This can help citizens access basic information without depending entirely on manual support.
Another application is fraud and anomaly detection. ANNs can analyze patterns in administrative and financial data to identify unusual activities that may require further investigation. This can provide government departments with additional tools for monitoring digital systems.
ANNs can also assist with data analysis and public administration. Large datasets can be analyzed to identify trends and patterns that may help departments understand service usage and administrative requirements. These insights can support data-driven planning and resource management.
Overall, artificial neural networks can contribute to e-governance through automated services, citizen support, data analysis, and anomaly detection. As government services become increasingly digital, ANNs can provide useful tools for managing information and supporting more efficient public-service systems.
