AgriScan is a web-based tool that empowers farmers to diagnose plant diseases instantly by uploading or capturing leaf images. It runs entirely in the browser using a custom-trained convolutional neural network (CNN) via TensorFlow.js, ensuring privacy, offline capability, and zero server latency. This project was born from the need to deliver advanced plant-health analytics to resource-constrained farmers, reducing crop losses and enhancing global food security.

Built With

  • ai
  • and
  • components:
  • continuous
  • css-frameworks:-next.js
  • deployment:
  • design
  • for
  • global
  • html
  • inference
  • integration
  • languages:-javascript
  • library:
  • material
  • model
  • on-device
  • or
  • react
  • responsive
  • similar)
  • tensorflow.js
  • ui
  • vercel
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