You're the lead developer for "AdventureGear Emporium," an online outdoor equipment store. The store showcases three flagship products: Summit Explorer Backpack, TrailBlazer Camping Tent, and Alpine Trekking Boots. Develop the logic and structure of a Python program that provides detailed information about these products, including features like capacity for the backpack, capacity for the tent, boot sizes, prices, and any special functionalities. Requirements: Display comprehensive details for each product, such as backpack capacity, tent capacity, available boot sizes, pricing, and any unique features relevant to outdoor enthusiasts. Implement a shopping cart functionality enabling users to add products, specify sizes (if applicable), and automatically calculate the total cost. Integrate a discount system where users receive a 8% discount on the total cost if they purchase both the SummitExplorer Backpack and the Alpine Trekking Boots together. Incorporate an optional section for users to input any special outdoor activity requirements or preferences, like specific backpack compartments or tent features. Generate a summary of the user's selected products, sizes, total cost, and any additional outdoor activity preferences after they engage with the shopping cart.

write a python code that will ahieve the following:   Project Title: Integration of IoT and AI for Weather Prediction Introduction: The integration of Internet of Things (IoT) and Artificial Intelligence (AI) has revolutionizedvarious industries, including weather prediction. In this course project, we will explore the integration of IoTand AI to predict future weather using historical weather data from OpenWeatherMap API. The project aimsto demonstrate how IoT devices can collect and transmit weather data, and how AI algorithms can be utilizedto make accurate weather predictions. Objectives:1. Retrieve historical weather data from OpenWeatherMap API for a specific city.2. Extract relevant weather information, such as temperature and humidity, from the historical data.3. Train a machine learning algorithm using the historical data to make predictions.4. Implement a simple AI algorithm to predict future weather based on given input values of temperatureand humidity.5. Evaluate the…