Investigations related to the impact caused by solar radio burst emissions on space weather forecasting and human activities have been ongoing for a long time. Solar activities based on radio spectra are recorded by using a radio spectrometer from ground Earth. Currently, manual observations are conducted for burst detection using the Compound Astronomical Low-Cost Low-Frequency Instrument for Spectroscopy and Transportable Observatory (CALLISTO) spectrometer that is able to generate more than one thousand spectra a day at each station. This Burst-Finder was developed to automatically detect the presence of solar radio bursts from the spectra using MATLAB. This study processed 1491 CALLISTO spectra images from 31 stations on 11 February 2014, in which Type II and Type III burst occurrences were detected. The success rate for burst detection was about 89%. This automated system offers CALLISTO uses an effortless and hassle-free tool for burst detection in order to monitor solar bursts during a complete cycle of 11 years.