Useful to predict the disease in potato leaves thus can predict disease like early blight and late blight used CNN,tensorflow etc
Training and testing various CNN models for image classification.
Cross-platform AI agriculture application built with React Native and Flask. Features Scikit-Learn crop recommendation algorithms and a custom PyTorch ResNet9 computer vision model for real-time plant disease classification.
Deep learning Model to predict name of flower through images . Link to the notebook https://jovian.ai/anshulchauhan1808/myproject12
Image classification on CIFAR-10 dataset using two models. The first model is my own CNN(Convolutional neural network). The other model is built using Resnet-9 architecture.
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