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AgriSense AI

An AI-powered application that helps local farmers identify crop diseases in real-time using computer vision.

Client
Ministry of Agriculture
Timeline
5 Months
Tech Stack
PythonTensorFlowFastAPIReact

The Challenge

Farmers in rural Bangladesh frequently lost crops due to delayed identification of plant diseases.

Our Solution

We trained a custom Convolutional Neural Network (CNN) on local crop datasets and deployed it via a lightweight mobile-friendly web app.

Results & Impact

Achieved 94% accuracy in detecting 15 common diseases

Adopted by over 10,000 farmers nationwide

Helped save an estimated $2M in crop damages

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