About: In this project we aim to build a web app that can assist farmers in detecting potato plant diseases. The application will be able to classify the disease in an infected potato plant using it's leaf and Convolutional Neural Networks.

Python 3.7
Flask
Tensorflow 2.6
Numpy
Matplotlib
HTML
CSS
Bootstrap
IDE: VScode

• Description: A research project focused on using Convolutional Neural Network (CNN) to detect and identify potato leaf diseases, aiming to help farmers detect diseases early and prevent economic losses. The project achieved a classification accuracy of around 97% and utilized data augmentation to make the model more robust.
• Online IJIRT Paper
• Letter of Acceptance
• Certificate of Each Member