AgroAdvisor 🌾

AgroAdvisor is a machine learning-based crop recommendation system that suggests the best crops to grow based on soil properties and environmental conditions. This project leverages a user-friendly interface and a robust backend to help farmers make informed decisions.

Click Here to visit this site.

---

🌟 Features

• Input Soil Properties: Users can input nitrogen (N), phosphorus (P), potassium (K), temperature, humidity, pH, and rainfall values.
• Crop Recommendation: The system suggests the most suitable crop for the given soil and environmental conditions.
• Modern Frontend: A colorful and intuitive interface built with React and Tailwind CSS.
• Machine Learning Integration: Predictive analysis powered by a trained machine learning model.
• RESTful API: A Node.js backend provides seamless communication with the frontend.

---

🚀 Technologies Used

Backend:

• Node.js with Express.js
• Python for the ML model
• Flask for ML model integration
• Axios for API communication

Frontend:

• React (via Vite)
• Tailwind CSS for styling
• Axios for API calls

---

Steps to Run:

1. Clone the repository

git clone https://github.com/yogendrabaskota/AgroAdvisor.git  

To Run Backend Server

cd backend

• To install required packages

  npm install

• To run server

  npm start

To Run Frontend

cd frontend

• To install required packages

  npm install

• To run project

  npm run dev

Note:

• Don't forget to update the API path in the frontend if needed.

Output :

• Home page:
• getting output:

To get API documentation, click Here

Backend is live Here

Frontend is live Here

Feedback

If you have any feedback, please reach out to me at [email protected]