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CliSky

Introducing CliSky, designed to provide accurate and real-time weather information at your fingertips. This tool utilizes Natural Language Processing (NLP) techniques to understand and process user queries in plain English, allowing you to effortlessly retrieve weather forecasts for any location worldwide. With its user-friendly command-line interface, you can simply input your location or ask questions like 'What's the weather like tomorrow?' or 'Will it rain in London?' The tool fetches up-to-date weather data from the OpenWeatherMap API, offering current conditions, temperature, humidity, wind speed, and more. Stay informed and plan your day effectively with this intuitive NLP-based weather CLI tool.

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Introducing CliSky, designed to provide accurate and real-time weather information at your fingertips. This tool utilizes Natural Language Processing (NLP) techniques to understand and process user queries in plain English, allowing you to effortlessly retrieve weather forecasts for any location worldwide. With its user-friendly command-line interface, you can simply input your location or ask questions like 'What's the weather like tomorrow?' or 'Will it rain in London?' The tool fetches up-to-date weather data from the OpenWeatherMap API, offering current conditions, temperature, humidity, wind speed, and more. Stay informed and plan your day effectively with this intuitive NLP-based weather CLI tool.

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You can follow the steps below to install the project. Post installation, open up two shells (with the environment activated) to start the tool.

In the first shell, run

rasa run actions

In the second shell, run

rasa shell

And continue with commands on the second shell in natural language.

1. Get a free API Key at https://openweathermap.org/api
2. Clone the repo

   git clone https://github.com/g-kabra/CliSky.git

3. Make a virtual environment

   python -m venv sample_venv

4. Source the virtual environment

   source sample_venv/bin/activate

5. Install Python packages

   pip install -r requirements.txt

6. Enter your OpenWeatherMap API in .env

   API_KEY = 'ENTER YOUR API';

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The project can be used for

1. Quick Weather Updates: Get instant weather updates for any location without the need for complex user interfaces or browsing through multiple websites or apps.

2. Seamless Natural Language Queries: Communicate with the tool using plain English queries, making it easy and intuitive to retrieve weather information without requiring specific commands or syntax.

3. Real-Time Data: Access up-to-date and accurate weather information, ensuring you stay informed about current conditions and any changes in the weather forecast.

4. Efficient Planning: Plan your day effectively by considering weather conditions such as temperature, precipitation, wind speed, and more. This tool enables you to make informed decisions about what to wear, whether to carry an umbrella, or adjust your outdoor plans accordingly.

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Distributed under the MIT License.

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Gaurav Kabra - LinkedIn - [email protected]

Project Link: https://github.com/g-kabra/CliSky

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• Karthik S
• Ananya Gupta
• Vishal

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