Xai-Based Rural Complaint Prioritization & Resolution System

Abstract

The rural infrastructure issues like lack of water supply, road damage, sanitation problems and power failures have a strong impact on the quality of life in the rural settlements. The old grievance management systems are manual and do not have an effective system to prioritize complaints and resources allocation. The paper describes the RuralTrust AI, an intelligent AI based complaint management and decision support system, which will enhance rural governance by conducting automated complaint analysis and predictive analytics.The suggested system will combine Natural Language Processing (NLP), sentiment analysis, multi-label classification of complaints, and a machine learning-based urgency score to classify and rank citizen complaints automatically. The site is deployed on a full-stack application comprising of React-based citizen interfaces, Node.js-based backend service, and MongoDB cloud database infrastructure. More sophisticated functions of the system are also the detection of duplicates of complaints, the forecasting of the trends in complaints, the recommendation of the resource allocation based on the AI, and tools to simulate the impact of the policies on the government officials in making decisions.It has been shown through experimental assessment that the system will make the complaint handling more efficient, allow prioritizing the critical infrastructure problems faster and improve the transparency of the governance. The suggested platform shows how AI-based governance systems can be used to enhance the delivery of services to people in rural areas.