An AI-Driven Budget Revenue Projection System for Public Finance: Architecture, Data Model and Implementation

Determining the budget revenue in big organizations, multinational company or government institutions, is a difficult tasks considering incertitude’s of some input items. In Sub-Saharan Africa countries, many governments still rely on manual, spreadsheet-based methods that are time- consuming, inconsistent, and error-prone to establish budget projections. This paper presents the design and implementation of a web-based budget revenue projection protocol system using artificial intelligence, developed for a general public organization responsible for national budget management. The goal of this research is to minimize the production time of the budget projection, minimize the projected data’ incertitude. The proposed protocol automates the projection of state budget revenues using statistical models (SARIMAX) and AI-driven analysis (Prophet), replacing previously manual forecasting methods.