Plant Disease Classifier

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.

Run 🎯

1. Download or clone the repository

2. Open cmd or terminal

3. change directory (cd) to Potato-Disease-Classification-master

4. Enter pip install -r requirements.txt

5. Enter python app.py

Tools✅

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

Tour!🎯

Video Explanation

Group2_MiniProject_Sem6.mp4

Home page

About page

Result page

Research Paper: Potato Leaf Disease Prediction

• 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