This paper reveals a multi-level computational model with the intent to simulate the onset and tenacity of Postpartum depression (PPD) through its varying influences. The model constitutes six modifiable stages, encompassing procedures from psychological reactions and the regulation of hormones to molecular transformations in genetic activity. It is constructed in MATLAB, and the model aims to simulate a range of life situations in order to understand how depressive patterns might progress or shift. Through the integration of behavioral, biological, and molecular aspects, the study’s objective is to provide a profound insight of what drives PPD and to offer a basis to investigate the effects of proposed actions. PPD is regarded as a complex psychological health condition which can impact on new mothers. It interferes with the emotional well-being and affects multiple interactions including, bonding between mother-baby and early childhood developmental stages. Whereas previously it was associated with hormonal fluctuations after giving birth, recent evidence points at other contributing circumstances such as emotional control and epigenetic factors like DNA methylation.