Rainfall Prediction MLops Project

Predict next-day rainfall in Australia using machine learning and MLOps using Kaggle dataset

Features

• Data Cleaning
• Feature Selection
• Model Training
• Keeping track of the models using MLFlow
• API with FastAPI
• Frontend with Streamlit
• Dashboard with Streamlit, HTML, and PowerBI
• Testing with DeepCheck

Setup

1. Backend API:

   uvicorn main:app --host 0.0.0.0 --port 8000 --reload

2. Frontend

   streamlit run frontend/main.py

Additional Components

1. Dashboard: Utilizes Streamlit, HTML, and PowerBI.
2. Testing: DeepCheck testing integrated.

Roadmap

Dockerization and Automation with Jenkins (Coming Soon)