This document describes a new strategy for detecting single nucleotide polymorphisms (SNPs) in HIV genetic sequences. The strategy involves trimming low quality bases, correcting base calls using area ratio or average height ratio algorithms, filtering adjacent SNPs, and generating a consensus sequence from multiple alignments. The strategy was tested on 35 batches of HIV sequences and achieved true positive rates of 75.4% using area ratio and 52.6% using average height ratio, outperforming two external SNP detection tools, Polybayes and Polyphred. Future work will involve testing with larger datasets with higher coverage and sequences from more conserved organisms.