In this study, a modified miRsearch program was developed in C++ for the detection of miRNAs. All the mature miRNA sequences of Caenorhabditis elegans, Caenorhabditis briggsae, Caenorhabditis remanei, Drosophila melanogaster, Homo sapiens and Rattus norvegicus available in miRbase was searched by this program for homologous sequences with a maximum of 3-mismatches in the chromosomes of C. elegans excluding the miRNAs of C. elegans. The same strategy was repeated for C. briggsae excluding C. briggsae miRNAs. The probable pre-miRNA sequences with stem loop secondary structures were assessed by implementation of longest-common-subsequence (LCS) algorithm with appropriate scoring system. As miRNA genes could be on either strand, each sequence was searched in both forward and reverse strands. The putative miRNAs were viewed through Mapviewer to identify their intronic or intergenic location in C. elegans and C. briggsae genomes. Further, the quality of stem-loop formation of the remaining pre-miRNA sequences was assessed through RNAFOLD. This algorithm will be helpful in detection of potential miRNAs in future sequencing data, making this an invaluable tool for miRNA prediction.