View Project
AgriAssist-LLM
AgriAssist-LLM is a fine-tuned large language model based on Llama3.2:1B, specifically designed to provide detailed, actionable information about plant diseases to Indian farmers. It offers clear, concise, and locally relevant guidance on disease identification, symptoms, causes, severity, and treatment measures across major crops such as Sugarcane, Maize, Cotton, Rice, and Wheat.
Features
Tailored Guidance: Provides comprehensive details on various plant diseases affecting Indian crops.
Practical Recommendations: Offers clear instructions on treatment and prevention, helping farmers manage crop health.
User-Friendly: Utilizes the Alpaca Instruct Format to generate responses in simple, accessible language.
Versatile Applications: Suitable for use by farmers, agronomists, and agricultural extension workers.
Model Details
Base Model: Llama3.2:1B
Fine-Tuning Dataset: Custom dataset of 200 samples focusing on plant diseases in Indian agriculture.
Intended Use: Assisting in the identification, explanation, and management of plant diseases.
Happy farming with AgriAssist-LLM!
More Details on GitHub
Built with
