Codet

Overview

Codet is a cutting-edge mobile application designed to assist farmers in detecting coconut tree diseases early. This project delves into the machine learning models (e.g., CNNs built with TensorFlow and Scikit-learn) trained on extensive datasets from Kaggle. It explores the data collection process, model training and evaluation, and the challenges of deploying such a model in a mobile environment. The application provides intuitive interfaces for image submission and instant diagnosis, empowering farmers with actionable insights.

Jobdesk

Collect and clasify the image of coconut tree by its diseases
Perform a preprocessing on the dataset to have a cleaner image
Created a CNN model to detect the pattern of the coconut tree images
Perform the training, evaluating, and testing of the model

Tools Used:

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