B cell receptors (BCRs) are critical components of the adaptive immune system, enabling precise pathogen recognition and the activation of immune responses. This research examines the molecular and genetic mechanisms underlying BCR function, focusing on their role in detecting, binding, and neutralizing infectious agents. By exploring antigen-BCR interactions, we aim to elucidate how BCRs achieve their remarkable specificity and affinity, ultimately shaping the strength and duration of immune responses. Through advanced immunological assays, flow cytometry, and bioinformatics, this study characterizes the diversity of BCR expression across various infectious models. Genetic processes such as somatic hypermutation and clonal selection are analyzed to understand how BCR repertoires adapt to rapidly evolving pathogens. Predictive models developed using machine learning identify biomarkers within BCR pathways, providing insights into acute infections, chronic diseases, and autoimmune conditions. The findings highlight variations in BCR function that influence immune resilience and susceptibility to infections. These insights inform vaccine development, antibody engineering, and therapeutic strategies targeting BCR pathways. This research underscores the potential of BCRs as biomarkers and therapeutic targets, paving the way for innovative approaches in infection control and immune modulation, ultimately advancing precision medicine and adaptive immunity research.