AgroDetect Smart Plant Pathology is a Web-App-based solution and an innovative system that utilizes image processing techniques to analyze plant diseases based on leaf images. This technology aims to revolutionize agriculture by offering a rapid and precise method of identifying and managing plant diseases, ultimately improving crop yield and reducing losses. The Convolutional Neural Network (CNN) model, augmented with Rectified Linear Unit (ReLU) activation functions, was employed to discern the condition of plants by analyzing leaf images. The accuracy of the performance of the designed models is evaluated using four categories of plant leaves from the PlantVillage database. The average accuracy of the designed models is around 97% and is further compared with state-of-art works and also designed a web application using the Streamlit Python library for user interaction with minimal effort.