Plant Being

ML Powered App to assist farmers in crop disease detection and alerts.

Tech Stack

• Flutter
• Python
• PyTorch
• Firebase
• Flask

Machine Learning Model

Multi-Class Image classifier Built on PyTorch framework using CNN architecture. Currently Project Detects 17 States of disease in 4 plants ( Aiming Kerala State ) namely Cherry, Pepper, Potato and tomato.

• Framework : PyTorch
• Architecture : Convolutional Neural Networks
• Validation Accuracy : 77.7%

Features

• Authentication using Google OAuth
• User Profile page
• Uses camera or device media to get an image of the crop
• Preview the image and sends it to API, for disease detection
• Result page showing detected disease and remedy
• Generates a PDF report to save/share predicted disease details
• Option to send the generated result as a notification warning to other users