Built an AI-powered agronomy advisor

Built an AI-powered agronomy advisor that uses Retrieval-Augmented Generation (RAG) to provide context-aware agricultural guidance. The application combines document retrieval with Gemini to generate relevant responses, using ChromaDB for vector search and TF-IDF for text-based retrieval. Developed a Streamlit interface to make the system accessible through an interactive web application.