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AI-powered mobile pest detection system using YOLOv8 and ResNet50 with Android deployment, TFLite optimization, Flask APIs, and Gemini-powered crop advisory chatbot.

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Smart Pest Detection

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Project Structure

Smart-Pest-Detection/
├── src/
│   ├── components/
│   │   ├── Header.js
│   │   ├── Footer.js
│   │   └── ...
│   ├── services/
│   │   ├── apiService.js
│   │   └── ...
│   ├── styles/
│   │   ├── settings.scss
│   │   └── ...
│   ├── App.js
│   └── index.js
├── public/
│   ├── index.html
│   └── ...
├── tests/
│   ├── App.test.js
│   └── ...
├── .gitignore
├── package.json
├── README.md

Description

Smart Pest Detection is a project aimed at detecting pests using advanced machine learning algorithms. This repository contains the source code, tests, and documentation for the project.

Installation

To install the dependencies, run:

npm install

Usage

To start the development server, run:

npm run dev

To build the project for production, use:

npm run build

To run the tests, use:

npm test

About

AI-powered mobile pest detection system using YOLOv8 and ResNet50 with Android deployment, TFLite optimization, Flask APIs, and Gemini-powered crop advisory chatbot.

Topics

Resources

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1 star

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0 watching

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