<p>The areal rainfall estimation using weather radar is useful in many meteorological and hydrological applications. The raw radar data is voluminous and processing it is a resource-intensive task, therefore, the real-time rainfall estimation is often carried out only at the radar centres. However, the reflectivity images generated by these radars are available in the public domain in real time. This study aims to develop a novel approach to radar rainfall estimation using radar reflectivity images to allow user-customizable rainfall estimation schemes, uncertainty depiction and mosaicking in a decentralized manner. The software system is developed in JAVA language which requires Max(Z) images generated at 10&#xa0;min intervals by the radar system as input and generates geo-referenced rainfall raster along with other user-defined custom images. The 24-hour accumulated rainfall estimated using Max(Z) images are validated with the 24-hour accumulated rain gauge rainfall and were found to be comparable.</p>