Apr 14, 2023 · To help you find your ideal plant, I’ve built a dynamic web app that takes users through a quiz to determine the perfect plant match based on their preferences and living conditions.

Feb 23, 2023 · The Leaf Disease Detection Flask App provides an automated solution for the detection of leaf diseases. The app uses a deep learning model to make predictions on whether the leaves are healthy or diseased. The app is built using Flask, a lightweight web application framework, and Keras, a high-level neural networks API.

The business logic in Python uses Machine Learning techniques in order to predict the most profitable crop in the forecasted weather and soil conditions at a specified location.

May 26, 2023 · By integrating Flask with Next.js, you can use Python and JavaScript together in the same application. This hybrid approach is perfect for apps that require the power and flexibility of Python's backend capabilities (like AI libraries) with the dynamic frontend capabilities of a Next.js application.

Plant Disease Detection is a web-based app using React for the frontend and Python (FastAPI, PyTorch) for the backend. It employs a ResNet-based model to identify plant diseases from images, offering farmers and researchers real-time, accurate diagnostics for …

Aug 20, 2024 · In this tutorial, we’ll deploy a plant disease detection model trained on images of various plant diseases. The model is served using Flask, a lightweight web framework in Python, which allows us to build a web application that users can interact with.

🚀 Plant Safe is a AI (Deep Learning) based plant disease recognition application that can identify upto 10 various types of plant diseases by analyzing plant leaves. The app contains following features; 🚀 Tech Stack - React Native | Convolutional Neural Networks | Flask | MySql.

In smart agriculture systems, mobile apps are valuable tools for farmers and agricultural professionals to monitor and manage their farms remotely. In this section, we’ll explore how to develop mobile apps for smart agriculture using Python and related technologies. Choosing a Mobile App Development Approach

Jun 13, 2023 · Today, I want to share my exciting journey of building an online plant store using Flask-SQLAlchemy as the backend and React.js as the frontend. Join me as I dive into the world of web development and share my experiences, challenges, and …

My code works on plain (static) HTML, but not when content is generated by JavaScript embedded in the page. In particular, when I use urllib2.urlopen(request) to read the page content, it doesn't show anything that would be added by the JavaScript code, because that code isn't executed anywhere.