Introduction-Given the gravity of sepsis and emerging regulatory mandates, prompt diagnosis and intervention have been a primary priority in the healthcare sector. Consequently, researchers have focused on examining clusters of clinical tests to accurately detect or anticipate the beginning of sepsis. The present study was conducted to assess the hematological and biochemical markers in prediction of severity of sepsis. Material and methods-The present prospective observational study was conducted at department of pathology in a tertiary care hospital among patients depicting symptoms of sepsis. Through consecutive sampling a total of 50 patients suspected of sepsis were taken for the study on the basis of inclusion and exclusion criteria. The parameters recorded were hematologic parameters (including WBC, RBC, platelets, ANC and IG), procalcitonin (PCT), and CRP for predicting sepsis. Results –35 patients were under the category of prediction of sepsis, while 15 patients were under the category of prediction of severe sepsis. In both the group maximum patients were male (25/10; 10/5). The baseline SAPS-II score was significantly lower in sepsis patients(39.34±11.23) than in severe sepsis (45.32±10.23) and results were significant with p value 0.004.The area under the ROC curve (AUC) for predicting sepsis using solely haematology markers varied between 0.50 to 0.65. Upon examining procalcitonin and C-reactive protein exclusively, the AUC rose to 0.71 and 0.72, respectively. The combination of the absolute neutrophil count (ANC) and immunoglobulin (IG) count with inflammatory indicators resulted in an area under the curve (AUC) of 0.74. In predicting whether patients will progress to severe sepsis or septic shock, the identical combination of haematologic and inflammatory indicators yielded an AUC of 0.78 Conclusion-This study demonstrates that bedside physical examination, combined with laboratory testing (including haematologic and inflammatory biomarkers), constitutes the most effective parameters for clinicians to rapidly and accurately predict or diagnose sepsis in critically ill patients.