Create an API that provides real-time and AI-predicted weather data for a given location, enabling external apps to integrate weather insights.
Design database or cache system for weather data.
Develop API endpoints for current weather and forecast requests.
Preprocess historical weather data for AI model training.
Train ML model to predict temperature, rainfall, and wind speed.
Integrate AI predictions into API responses.
Test endpoints using Postman and simulate load scenarios.
Implement rate-limiting, authentication, and logging.
Deploy API on a cloud service like AWS or Azure.
Document endpoints, request/response structure, and AI model workflow
