CropGuard AI

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  Website

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  Website

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  Code

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  Code

Inspiration Farmers often lose crops due to late detection of plant diseases. We wanted to use AI to solve this real-world problem and help farmers protect their crops earlier and more effectively.

What it Does CropGuard AI allows users to upload or take a photo of a plant leaf. It then instantly identifies if the plant has any disease and provides the disease name. This helps in early detection and prevention of crop loss.

How We Built It We trained a machine learning model using image datasets of plant leaves and used a web interface built with HTML, CSS, and Flask backend to process the images and return predictions. Everything is packed into a simple, user-friendly experience.

What’s Next We plan to:

Add remedy suggestions for detected diseases

Support more crops

Build a mobile-friendly version

Let farmers get real-time diagnosis by just scanning a leaf in the field

Built With

• matplotlip
• numpy
• pandas
• python
• scikit-learn