DHANESHVAR Maha@Dhaneshvar

This project focuses on providing farmers in underserved communities with an intelligent AI-powered chatbot that addresses both general and complex queries related to plant care and farming. The system uses a Strategic agent approach: A local model (LLaMA 3.2 3B) running on an edge device to answer general, everyday plant care questions. A larger, cloud-hosted model (LLaMA 3.1 70 B) accessible via API for handling more complex or specialized queries. An intelligent agent is designed to assess the complexity of each query and assign a score. Based on the score, the agent dynamically routes the query to the appropriate model, optimizing for response time, computational resources, and accuracy. Farmers will interact with the system through a simple web or mobile chat interface (powered by Streamlit), enabling them to ask questions about plant health, harvest cycles, and more.

Support teams often struggle to manage increasing customer queries, leading to delayed responses and incorrect issue resolutions. IBM Diagnostics Gen AI Assistant addresses this challenge by automating troubleshooting processes, enabling faster and more accurate solutions. The system analyzes queries, identifies root causes, and suggests solutions, reducing manual intervention and increasing efficiency. This automation allows support teams to handle larger volumes of issues, scale operations, and improve overall response times. Ultimately, IBM's AI Assistant enhances customer satisfaction by ensuring issues are resolved quickly and correctly, leading to a more streamlined and effective support experience.