AgriAI aims to revolutionize the agriculture industry by offering AI-powered tools and solutions that help farmers make informed decisions, optimize crop yields, and manage resources efficiently. The project includes various modules for data analysis, prediction, and visualization.

Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling

The "Australian Rain Predictor" uses machine learning to forecast rainfall in Australia. It features data preprocessing, model training, and evaluation scripts, providing accurate predictions based on historical weather data. Ideal for weather forecasting and data science enthusiasts.

This repository contains a Jupyter Notebook performing Time-Series Analysis project focused on weather forecasting,

This project utilizes machine learning algorithms to predict rainfall patterns based on historical climate data.