🌾 AgriGo x Syngenta: An Agricultural Risk Management System 🌾

AgriGo is a comprehensive agricultural management system designed to enhance decision-making processes, mitigate risks, and optimize crop yields. By leveraging cutting-edge technologies such as data visualization, risk analysis prediction, disease identification through image recognition, and AI-powered chat support, AgriGo empowers farmers and agricultural stakeholders with actionable insights and real-time assistance to effectively manage and protect their crops. 🌱🚜

---

Watch the demo 🎥

🌟 Key Features 🌟

1. 📊 Data Visualization

• Seamlessly visualize agricultural data in an interactive and intuitive interface. Present key metrics and trends through various charts, graphs, and maps, helping users make informed decisions based on real-time data. 📈

2. ⚠️ Risk Analysis Prediction

• Predict potential risks and challenges to crop health. The system analyzes weather patterns, soil conditions, and other environmental factors to identify risks early and suggest mitigation strategies. 🌦️

3. 💡 Product Recommendation for Risk Mitigation

• Based on the identified risks, the system recommends suitable agricultural products (e.g., fertilizers, pesticides, and other solutions) that can help mitigate or eliminate the risks, ensuring optimal crop health and yield. 🌾

4. 🔄 Feedback Loop with Users

• A robust feedback mechanism allows users to provide real-time insights and outcomes. This data helps refine the system’s predictions and recommendations, fostering continuous improvement and better adaptation to the users' unique agricultural conditions. 📝

5. 🦠 Disease Identification via Image Recognition

• Users can upload images of crops directly from their mobile devices. The system uses advanced image recognition technology to identify potential diseases or pest infestations, enabling quick and accurate diagnosis for better intervention. 📸

6. 🤖 LLM-powered Chat Support

• The system integrates a conversational AI agent that can engage users in real-time conversations. The AI can answer questions, provide advice on crop management, or assist with troubleshooting, offering tailored guidance based on the user’s inputs and needs. 💬

---

🛠️ Installation & Setup 🛠️

To get started with AgriGo, follow the instructions below for setting up the environment locally or deploying it to a production server.

Clone the Repository

git clone https://github.com/GiovanniGrotto/AgriGo.git
cd AgriGo

Install the required libraries

pip install -r requirements.txt

⚠️ Important:

You need to fill the .env file with your own API keys and Hugging Face access token.

Start the main program to run all the application functionalities

python main.py

Prerequisites

• Python 3.x+ 🐍