Explore
Description
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using ‘Content here, content here’, making it look like readable English.
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using ‘Content here, content here’, making it look like readable English.
Conclusion
This AI-powered WhatsApp bot enables farmers and gardeners to instantly diagnose plant diseases by simply sending a photo through WhatsApp. The system supports six different plant types (Corn, Cotton, Rice, Tea, Tomato, and Potato) and can identify over 30 different diseases with confidence scores.
The application is built using Flask and TensorFlow for serving fine-tuned DenseNet deep learning models on the backend, with Python libraries like Pillow and NumPy for image processing. The frontend leverages Node.js with the whatsapp-web.js library to create an interactive bot interface, using Axios for API communication between the WhatsApp client and the Flask server.