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01 / DETECT
Computer vision built for crop health.
PattaPe uses a fine-tuned EfficientNet-B0 model to classify diseases across five Indian crops.
AI for Indian agriculture
See the disease.
Know what to do.
PattaPe helps farmers identify crop diseases from a leaf photograph and turn an image into a clear, actionable crop-health assessment.
Rice•Banana•Chilli•Groundnut•Sugarcane
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02 / EXPLAIN
Make the diagnosis visible.
Grad-CAM highlights the image regions that influenced the model's prediction.
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03 / ASSIST
A second AI opinion.
An independent Gemini layer reviews the result and helps surface disagreements for escalation.
BUILT FOR THE FIELD
From leaf photo to actionable insight.
PattaPe combines machine learning, explainability and AI-assisted guidance behind a simple farmer-facing experience.
TECHNOLOGY
ReactFastAPIPyTorchEfficientNet-B0Grad-CAMGemini
Early-stage product
Technology that speaks the language of the field.
PattaPe is being developed to make crop-health diagnostics faster, clearer and more accessible for Indian farmers.
View the project →