The AI Rain Prophets: Development of a Hybrid Machine Learning Tool for Rainfall Prediction Based on Traditional Local Knowledge and Meteorological Data

Water security is one of the greatest challenges faced by semi-arid regions, where a single rainy season can determine food production, water availability, and even impact the global economy. To address this challenge, a low-cost and highly accessible hybrid tool was developed, combining meteorological records with the ancestral knowledge of Rain Prophets, local observers of natural signs, and AI, transforming traditional wisdom into practical solutions for the future. The system achieved 95% precision and predicted seasonal rainfall volume with only a 5.7% error rate. This innovative integration of science and traditional knowledge can contribute to building a more sustainable and resilient future.

This project was inspired by stories my grandfather used to tell me about Rain Prophets and their ability to predict rainfall by observing nature. Fascinated by this knowledge since childhood, I later turned that curiosity into scientific research, combining traditional wisdom with artificial intelligence.