The economy has a significant impact on agricultural productivity. This is one of the factors that makes plant disease detection crucial in agriculture. Because there is a lack of sufficient care in this region, plant diseases substantially harm plants and have an impact on the quality, quantity, or profitability of their merchandise. Automated methods for plant disease detection are helpful since they eliminate the need for intensive surveillance on sizeable arable farms and catch disease indications early on. If it occurs on the leaves of the plant. This project addresses plant leaf disease detection and prediction using neural networks. Dataset used is provided through the following address