Fine-Tuned Agricultural AI Assistant

ABOUT PROJECT

Developed and optimized an AI assistant for the agricultural sector, leveraging Groq Cloud and LLaMA 3.1 to provide expert insights on crop management, soil health, and precision farming. Fine-tuned using diverse agricultural datasets, the model ensures accurate and context-aware recommendations for farmers and agronomists. It features intelligent crop advisory that offers data-driven guidance on planting, irrigation, and fertilization strategies, soil health analysis to assess conditions and suggest improvements for better yield and sustainability, precision farming insights that utilize AI-powered analytics to enhance productivity and reduce resource waste, and multilingual, context-aware support to deliver region-specific agricultural knowledge, making it accessible to farmers worldwide.

TECHNOLOGIES

AWS

Azure

Google Cloud

Hugging Face

LangChain

LIamaIndex

MySQL

OpenAI

Python

Scikit Learn

XGBoost

UNVEILING THE VISUAL SYMPHONY

Reviews

CLIENT FEEDBACK