This is the Linux app named what-to-eat whose latest release can be downloaded as what-to-eatsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named what-to-eat with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS:
what-to-eat
DESCRIPTION:
what-to-eat is an AI-powered recipe generation platform that helps users decide what to cook by generating customized recipes based on ingredients, cuisine preferences, and dietary considerations. The application combines modern frontend technologies with large language models to create a fully interactive cooking assistant that can produce detailed recipes, nutritional analysis, and even visual representations of dishes. It supports a wide range of cuisines, including traditional Chinese regional styles and international dishes, making it versatile for different cultural preferences. The system goes beyond simple recipe suggestions by including features such as wine pairing recommendations, sauce design, and health scoring, providing a more holistic cooking experience. It also includes a dynamic configuration system that allows users to switch between AI models and adjust parameters in real time without restarting the application.
Features
- AI-generated recipes based on ingredients and cuisine preferences
- Nutritional analysis and health scoring for generated meals
- Support for multiple cuisines including Chinese and international dishes
- Wine pairing and sauce design recommendations
- Dynamic configuration of AI models and parameters at runtime
- Ability to generate visual representations of dishes
Programming Language
TypeScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/what-to-eat.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.