Diabetes is a sophisticated and increasingly prevalent condition that affects millions of people worldwide and has become the third main cause of death. Constant monitoring of glucose level is the most effective way of controlling diabetes. Among various methods available for determination of glucose, electrochemical technique obtained significant recognition over the past few years due to its high sensitivity, Low limit of detection, promising response speed, and low cost whereas, traditional enzymatic glucose sensors are suffering from complicated immobilization process of enzymes, sensitivity to the environmental conditions and lack of long-term stability. Consequently, non-enzymatic glucose sensors have emerged as a viable alternative to enzymatic glucose sensors which can effectively overcome their drawbacks. In this presentation we will discuss CoNi2Se4-rGO nanocomposite as an efficient non-enzymatic glucose sensor which can electrochemically oxidize glucose at very low applied potential. The CoNi2Se4/rGO on Ni Foam (CNSE/rGO-NF) was synthesized via single-step electrodeposition on hydrothermally prepared reduced graphene oxide on Ni Foam substrate (CNSe/rGO-NF) and the electrocatalytic activity for glucose sensing was studied for the first time. The developed sensor exhibits exceptional performance in term of extremely low working potential of +0.35 V vs. Ag|AgCl, the lowest working potential reported to date, with superior sensitivity of 15571 µA mM-1 cm-2, wide linear range between 0.01 µM - 2.0 mM, low detection limit of 0.65 µM (S/N = 3), high selectivity in the presence of interfering species (such as dopamine, fructose, ascorbic acid, and NaCl), and excellent operational stability over an extended period of time. In this work, the electrochemical sensing behavior of the CNSe-rGO/NF electrode towards glucose sensing was investigated using amperometric techniques. Also, we have employed SEM, EDX, PXRD, XPS, TEM and Raman techniques to characterize the structure and morphology of the catalyst. In this presentation we will discuss about the details of glucose sensing, and the effectiveness of the sensor based in sensitivity, accuracy, and selectivity.