1. User-Friendly Application

   • The application is designed with a user-friendly interface for easy navigation and a positive user experience.

2. Advanced Detection Techniques

   • Utilizes cutting-edge detection methods for enhanced performance and accuracy in identifying relevant information.

3. Early Warning Systems

   • Provides early warnings to users, allowing proactive responses to potential issues or situations.

4. Precision Weed Control

   • Implements precise control mechanisms to target and manage weeds effectively, optimizing agricultural processes.

5. AI-based Chatbox

   • Features an artificial intelligence-powered chatbox for interactive communication and support within the application.

Install my-project with npm

  npm install miniproject
  cd miniproject

For starting the frontend

  cd src
  export NODE_OPTIONS=--openssl-legacy-provider
  npm start

For starting the backend

  Run the main.py file present in the api folder

Page Discription	Image
Front Page
Select Detection
Plant disease detection
Select the model
Display of Analysis
Working ChatBot
Weed detection

In summary, AgriiVision is a cutting-edge platform offering Smart Plant Disease & Weed Detection for agriculture. Packed with advanced features such as a user-friendly interface, early warning systems, and precision weed control, the application utilizes technologies like React JS, FastAPI, HTML, CSS, Python, TensorFlow, OpenCV, and Keras. The addition of an AI-based chatbox enhances user interaction, making AgriiVision a comprehensive solution for modern and efficient agricultural management.