This paper presents the Vision Based Intelligent Recipe Recommendation System (VBIRRS). People who stay remotely away from their homes miss the food at home. Students, Athletes, Professionals etc face the same problem. Although they might know how to cook they may not know which recipes can be made out of available vegetables. VBIRRS provides the solution for this problem. The system is not only intelligent enough to recommend the recipes possible from the available vegetables also remembers the preferences/choices of the user and recommends the recipes smartly. The system uses object detection algorithm YOLO and recommends the Indian recipes. We have achieved the classification accuracy more than 81.6%. To reduce the response time, the rewriting of the bounding box on image after detection is removed which gives a faster response during integration phase. Ajax makes faster reloading of dynamic data to help reducing the response time further