AI for Plant Wellness.
Pioneering the use of artificial intelligence to understand plant health. Our initial focus is on accurate predictions for potato crops, with future expansion planned for a wide range of vegetables.
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#HTML
#CSS
#JavaScript
#Python
#FastApi
#HTML
#CSS
#JavaScript
#Python
#FastApi
#HTML
#CSS
#JavaScript
#Python
#FastApi
or, drag and drop an image here
To prevent futher damage the farmer should:
How to use Plant Disease Classifier?

1. Click on the "Select Image" button to upload a plant leaf image from your device.

2. Alternatively, you can drag and drop an image into the designated area.

3. Once the image is uploaded, the model will analyze it for any potential diseases.

Lightning Fast
The model is optimized for speed, ensuring quick predictions without compromising accuracy.
Accurate Results
Achieves high accuracy using deep learning trained on thousands of leaf samples.
User Friendly
Simple interface lets anyone upload and get results in seconds.
Cross Platform
Works seamlessly on mobile, tablet, and desktop browsers.
Secure
All image processing happens in-browser, ensuring user privacy.
Offline Ready
Model can be cached for offline use, allowing diagnoses without internet.