Crop Recommendation Chatbot is an AI-powered application designed to assist farmers and agricultural enthusiasts in making informed decisions about crop selection based on various factors such as soil type, climate, and historical crop data. This project aims to enhance crop yield and sustainability in agriculture by providing personalized crop recommendations.
- Recommends suitable crops based on user-provided information.
- Utilizes machine learning algorithms for crop prediction.
- Recommend the predicted price for the crop for next season according to location.
- User-friendly chat interface for easy interaction.
- Accessible via web application.
- Machine Learning models for crop prediction.
- Python, Flask for the backend.
- HTML, CSS, JavaScript for the frontend.
- Users input their location, soil type, and climate conditions.
- The chatbot processes the data and suggests suitable crop options.
- Users can explore detailed information about recommended crops.
- Farmers can make informed decisions for crop planning.
Contributions and feedback from the developer community are welcome! Whether you're interested in improving the chatbot's algorithms, enhancing the user interface, or expanding its functionality, we encourage you to get involved.
To run the Crop Recommendation Chatbot locally or contribute to its development, follow these steps:
- Clone the repository.
- Set up the required dependencies as mentioned in the documentation.
- Run the application and start interacting with the chatbot.
This chatbot provides recommendations based on data and algorithms, but it's essential to consult with agricultural experts and consider local conditions for the best results in real-world farming scenarios.
