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AgriExpert utilizes Streamlit, Tensorflow, and Python for predicting crop diseases, aiding farmers in proactive agricultural management.

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Agri Aid Expert

Project Overview

Agri Aid Expert is an all-in-one agricultural companion that employs AI technology for disease detection, crop recommendation, expert advice, and news updates in the field of agriculture.

Features

  • AI-based disease detection for various crops (e.g., Apple, Corn, Grape).
  • ML-powered crop recommendation based on factors like farm size, climate, location, and budget.
  • Expert advice lookup based on user location.
  • News search functionality for agricultural topics.

Getting Started

To run the application locally, follow these steps:

  1. Install Python and required libraries/packages.
  2. Obtain necessary API keys or access tokens for services like OpenAI and Serper.
  3. Clone the repository.
  4. Navigate to the project directory and run the application using Streamlit.

Usage

  1. Upload an image for disease detection.
  2. Input parameters for crop recommendation.
  3. Search for expert advice based on location.
  4. Search for news articles on specific agricultural topics.

Dependencies

  • Streamlit
  • TensorFlow
  • OpenAI
  • Serper
  • Other dependencies...

Credits: This code was created by Raj Narayanan

Github: https://github.com/raju-2003

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AgriExpert utilizes Streamlit, Tensorflow, and Python for predicting crop diseases, aiding farmers in proactive agricultural management.

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