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.

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.

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.