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.
