Smart Elderly Incentive Management System (SEIMS) with Machine Learning-Based Eligibility Verification
An intelligent web-based incentive management system that uses machine learning to automate eligibility verification, detect fraudulent applications, and securely manage social welfare payments for elderly citizens.

Overview
The Smart Elderly Incentive Management System (SEIMS) is an intelligent web-based platform developed to improve the administration of social protection incentives for elderly citizens through machine learning-driven eligibility verification. The system addresses challenges associated with traditional welfare systems, including manual verification processes, fraudulent claims, administrative inefficiencies, and delays in payment disbursement. SEIMS integrates a Random Forest machine learning model capable of analysing demographic, socioeconomic, and health-related information to determine applicant eligibility and identify potentially fraudulent applications. The platform provides administrators with an intuitive dashboard for application management, beneficiary monitoring, payment processing, and reporting. The solution combines artificial intelligence, secure data management, and web technologies to deliver a transparent, scalable, and fraud-resistant framework for elderly welfare administration.
The challenge
Traditional elderly welfare systems rely heavily on manual verification processes that are slow, error-prone, and vulnerable to fraud and ghost beneficiaries. These limitations often result in delayed payments, inefficient resource allocation, and the exclusion of deserving elderly citizens from receiving benefits.
Our solution
SEIMS provides an automated eligibility verification and payment management platform powered by machine learning. By using a Random Forest model to analyse demographic, socioeconomic, and health-related information, the system enables real-time eligibility assessment, fraud detection, and secure administration of incentive payments.
Key features
- User Authentication
- Role-Based Access Control
- Machine Learning-Based Eligibility Verification
- Elderly Application Management
- Administrative Dashboard
- System Configuration Management
- Beneficiary Management
Results
The developed system successfully automated eligibility verification and improved the accuracy of beneficiary selection and fraud detection. The final solution provides an end-to-end framework for managing elderly incentive applications, eligibility assessments, and payment administration through a secure and intelligent web platform.
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