LithiumAI: Fortnite Item Shop Generator

(currently there is no built-in method of implementing the data. Should be coming once the AI trainer is complete. Newtonsoft isn't actually required it's just a remanent from one of the older versions of Lithium AI)

LithiumAI is a console application designed to facilitate the generation and optimization of the Fortnite in-game item shop. Leveraging artificial intelligence, LithiumAI enables users to curate a diverse and appealing selection of cosmetics for players to explore and purchase.

Features

• Item Shop Generation: Automatically generates a daily item shop and featured items based on AI-driven selection logic.
• User Feedback Integration: Allows users to rate the generated item shop and provide feedback on individual item placements, facilitating continuous improvement.
• Cosmetic Relationship Training: Enables users to rate the similarity between two cosmetic items, which is used to train the AI model to make more informed selections.
• Model Evaluation and Tuning: Evaluates the model's performance based on user feedback and adjusts parameters to optimize future item selections.

Technologies Used

• C# (.NET Core): The application is developed using C# programming language and .NET Core framework.
• JSON Serialization: JSON serialization is utilized for data storage and retrieval.
• Artificial Intelligence: The application leverages artificial intelligence techniques for item selection and optimization.

Getting Started

• Clone the Repository: Clone the repository to your local machine.
• Compile and Run: Compile and run the application using your preferred C# development environment.
• Follow Instructions: Follow the on-screen instructions to perform actions such as generating item shops, rating the shop, training cosmetic relationships, and exporting/loading AI models.

Contributing

We welcome contributions to LithiumAI! To contribute, follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/my-new-feature).
3. Commit your changes (git commit -am 'Add some feature').
4. Push to the branch (git push origin feature/my-new-feature).
5. Create a new Pull Request.

Contributors

• Ghosty