This paper work is carried out to predict the failure load of glass, kevlar and their hybrid composite laminates subjected to uni-axial tensile testing under acoustic emission monitoring. The specimens are subjected to uniaxial tensile test using INSTRON 3367 universal testing machine. The failure loads of the composite laminates can be effectively predicted with the help of artificial neural network tool available in matlab software. Three specimens each in glass, kevlar and hybrid are subjected to tensile load till failure occurs and the corresponding acoustic emission data are recorded using data acquisition software. Then one specimen each in glass, kevlar and hybrid is subjected to 50%, 75% of the failure load using which the failure load is predicted