Agriculture is an important sector that considerably enhances a nation's economic development. Farmers encounter several obstacles every year in order to produce high-quality crops. Plant diseases are a significant factor in the failure of the harvest. Additionally, pests, specialized illnesses, or natural disasters cause massive crop losses every year. It raises serious concerns about the application of sustainable advanced technologies to agricultural problems. The proposed intelligent system's main job is to detect plant disease using an image captured in the mobile application. It employs the region-based convolution neural network (fast-RCNN) and pre-trained model generation for the set of datasets and captured images. To ensure long-term viability, the mobile app is integrated with cloud services. The proposed system also includes recommendations to help farmers determine whether plant conditions are healthy or unhealthy, as well asthe recommendations to cure disease.

In today’s busy and expensive life we are in a great rush to make money. But at the end of the month, we broke off. As we are unknowingly spending money on little and unwanted things. So, we have come over with the idea to track our earnings. SPESE-Everyday Expenditure Tracker aims to help everyone who are planning to know their expenses and save from it. Here user can define their own categories for expense type like food, clothing, rent and bills where they have to enter the money that has been spent and also can add some information in additional information to specify the expense. User can also define expense categories. User will be able to see pie chart of expense. By using this, we can reduce the manual calculations for their expenses and keep the track of the expenditure. Although this website is focused on new job holders, interns and teenagers, everyone who wants to track their expense can use this application.