Undergraduate research is an important component of a B.Tech. Biotechnology program. In the present study, a customizable approach designed with open-source bioinformatics tools and databases was introduced to predict siRNAs for ZIKV therapeutics. With minimal prior exposure to bioinformatics, this workflow can be executed with detailed steps as demonstrated in this paper. All software, databases, and servers used in this research are open-source, allowing this project-based learning methodology to be implemented remotely as well. The workflow designed in the present study is flexible and customizable according to the mentor and student's requirements.