It is an Application which is to gauge the calorie of nourishment, which was shifted relying upon its fixings and capacity in each cookery time and it is mandatory to ascertain calories of sustenance earlier it gets expended. In light of nourishment information, fixings that are parts of sustenance surely have various calories. This rag suggests a technique for fixing created nourishment admission guess utilizing sustenance learning and warm information. In this strategy, a duplicate of the sustenance is first perceived as the kind of nourishment, and afterward, the elements of the realized sustenance are recovered from the database with their nourishment information. At the same time, the picture is then sectioned into limits of fixing applicants, and every one of those limits is then characterized into fixings utilizing LabVIEW dependent on the fixings level which is fitting for each age classifications. The ordered fixings from all limits are at last determined for all-out calories dependent on zone proportion and sustenance information. The presentation of our proposed technique indicates satisfactory outcomes contrasting and the calories set up by the regular ruinous strategy.