The Agricultural Data Visualization and Price Forecasting Project is a project that visualizes and forecasts the prices of several crops in Lahore (a city in Pakistan). The core function of this project is to use a variety of models (time series, regression, neural network) to predict prices, the program consists of multiple interfaces, there is a dedicated interface responsible for displaying and filtering data, there is an interface to adjust parameters, there is an interface to predict the results, through the graphical desktop program, users can more easily and intuitively select the city they want to predict (but because the data set currently crawls the data of only one city in Lahore, there is only one city to choose from, but we will add data from more cities in the future), crops, and can predict future prices by adjusting the training parameters.