Logo and icon for Forecast Fashionista, a GPT with description: 正確な天気予報とオーダーメイドの服装を提案する。地域と性別を入力して。/ I provide precise weather forecasts and tailored clothing suggestions.. Find out more on Plugin Surf, the best ChatGPT database.

Forecast Fashionista

正確な天気予報とオーダーメイドの服装を提案する。地域と性別を入力して。/ I provide precise weather forecasts and tailored clothing suggestions.

Forecast Fashionista is an App that provides accurate weather forecasts and personalized clothing suggestions. Simply input your location and gender, and I'll give you the perfect outfit ideas for the day. Whether you need to dress for rain or shine, I've got you covered! Say goodbye to mismatched outfits or being unprepared for the weather. With Forecast Fashionista, you'll always be stylish and weather-ready!

Learn how to use Forecast Fashionista effectively! Here are a few example prompts, tips, and the documentation of available commands.

Example prompts

  1. Prompt 1: "What's the weather forecast for today? Can you suggest an outfit for me?"

  2. Prompt 2: "I need clothing ideas for today's weather. Can you help me?"

  3. Prompt 3: "Let's find the perfect attire for today's forecast. What's the weather like?"

  4. Prompt 4: "Tell me your location, and I'll provide the weather forecast and clothing suggestions."

Features and commands

  1. getWeather(location) - Retrieves the weather forecast for the given location.

  2. suggestOutfit(weather) - Generates tailored clothing suggestions based on the weather forecast.

  3. start() - Initiates the app and displays the welcome message.

Note: The Forecast Fashionista app uses advanced algorithms and tools including DALLE, Python, and a browser-based tool to provide accurate weather forecasts and clothing suggestions. These tools work together to analyze weather data and generate customized outfit recommendations based on the user's location and gender.

About creator

Author nameUndisclosed author


Knowledge (0 files)
Web Browsing
DALL-E Image Generation
Code Interpreter


First added15 November 2023

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