AI Climate and Farming Assistant is a dynamic Streamlit-based web application that utilizes the power of LLaMA 3 (via Groq API) to deliver intelligent, real-time insights on climate, air quality, and agricultural trends. Designed to support farmers, environmental analysts, and researchers, the app provides natural language understanding to answer complex climate and crop-related questions instantly. By integrating Open-Meteo API, it delivers accurate, real-time weather forecasts and pollution data tailored to specific locations. Users can input queries like “What’s the air quality forecast for Lahore tomorrow?” or “How will temperature trends affect wheat yield this week?”, and receive precise, language-based responses enriched with interactive charts using Plotly. The app also enables users to upload CSV datasets, such as farm yield records, temperature logs, or rainfall patterns, which the AI can analyze, summarize, and visualize. Whether it’s identifying weather trends, planning irrigation schedules, or detecting anomalies in crop performance, the app converts complex data into clear and actionable insights. It’s built for usability and speed, making it an essential AI-powered companion for sustainable agriculture and environmental decision-making.
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