https://github.com/geo-y20/ai-farmer-assistant

Wheat Farming AI Disease Detection and Chatbot Support
https://github.com/geo-y20/ai-farmer-assistant

chatbot css disease-prediction flask html javascript jupyter-notebook keras nlp tensorflow website wheat

Last synced: 1 day ago
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Wheat Farming AI Disease Detection and Chatbot Support

• Host: GitHub
• URL: https://github.com/geo-y20/ai-farmer-assistant
• Owner: Geo-y20
• Created: 2024-01-27T17:47:00.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-03-11T18:47:31.000Z (10 months ago)
• Last Synced: 2025-01-08T09:15:45.357Z (1 day ago)
• Topics: chatbot, css, disease-prediction, flask, html, javascript, jupyter-notebook, keras, nlp, tensorflow, website, wheat
• Language: Jupyter Notebook
• Homepage:
• Size: 10.9 MB
• Stars: 2
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Wheat Farming AI Disease Detection and Chatbot Support

## Project Description

Welcome to our revolutionary project aimed at transforming wheat farming through the power of Artificial Intelligence (AI) and cutting-edge technology. Our system is designed to evolutionize wheat farming practices by providing AI-powered disease detection and chatbot support to empower farmers with real-time insights and expert advice.

### Key Features

#### AI-driven Disease Diagnosis

Our intelligent system utilizes state-of-the-art image recognition technology to analyze wheat plants. It delivers instant insights into potential diseases, enabling farmers to take timely and informed actions.

#### Real-time Chatbot Support

Our interactive chatbot serves as a trusted advisor, offering a range of features:

- **Disease Identification:** Receive clear explanations and visual examples of identified wheat diseases.

- **Treatment Recommendations:** Access recommended treatment plans based on the diagnosed illness.

- **Expert Advice:** Connect with agricultural specialists directly through the platform for personalized guidance.

### Additional Features

- **Early Detection:** Identify diseases at their earliest stages, facilitating prompt intervention and minimizing crop loss.

- **Improved Crop Management:** Gain valuable insights into wheat health, enabling informed decisions to optimize growth and yield.

- **Increased Efficiency:** Save time and resources by effectively managing your wheat crops with the help of AI and expert assistance.

## Skills and Deliverables

### Technologies Used

- **Artificial Intelligence**

- **Computer Vision**

- **Deep Learning**

- **Machine Learning Model**

- **Machine Learning**

- **Python**

- **Natural Language Processing**

- **Chatbot**

- **Object Detection**

- **Flask**

- **Web Page**

- **HTML**

- **CSS**

## Getting Started

To get started with our AI-powered wheat farming system, follow these steps:

1. **Clone the Repository:**

gh repo clone Geo-y20/Leverage-AI-in-hydroponic-farm

2. **Install Dependencies:**

  pip install -r requirements.txt

3. **Run the Application:**

   python app.py

Visit [http://localhost:5000](http://localhost:5000) in your web browser to experience the power of AI in wheat farming.

## Contributors

- George Youhana - [email protected]

- Mostafa Magdy - [email protected]

- Abdallah Alkhouly- [email protected]

## Sample of Web Page