Welcome to the AM Algorithm repository! This project is a blazing-fast, ultra-accurate Rust utility designed for matching anime metadata. It handles various titles, including English, Romaji, Native, and alternative titles, making it perfect for processing messy or ambiguous inputs.

• Features
• Getting Started
• Usage
• How It Works
• Contributing
• License
• Acknowledgments

• Speed: Built with Rust, the AM Algorithm offers impressive performance for real-time applications.
• Accuracy: It matches anime titles with high precision, even in the face of unclear or incomplete data.
• Flexibility: Supports multiple title formats, making it adaptable to various use cases.
• Easy Integration: Simple API for developers to integrate into their applications.

To get started with AM Algorithm, follow these steps:

1. Download the Latest Release: Visit the Releases section to download the latest version. Execute the downloaded file to set up the utility on your system.

2. Install Rust: Ensure you have Rust installed. You can download it from rust-lang.org.

3. Clone the Repository: If you want to contribute or modify the code, clone the repository using:

   git clone https://github.com/Mr-MH0001/am-algorithm.git
   cd am-algorithm

4. Build the Project: Run the following command to build the project:

   cargo build --release

5. Run the Utility: Execute the following command to start using the AM Algorithm:

   ./target/release/am-algorithm

The AM Algorithm is designed for ease of use. Here’s a simple example of how to use it:

use am_algorithm::match_title;

fn main() {
    let input = "Naruto";
    let matched_title = match_title(input);
    println!("Matched Title: {}", matched_title);
}

You can provide titles in various formats:

• English: "Attack on Titan"
• Romaji: "Shingeki no Kyojin"
• Native: "進撃の巨人"
• Alternative: "AOT"

The utility will return the most accurate match based on the input provided. It can handle typos and variations effectively.

The AM Algorithm uses advanced string matching techniques to process inputs. Here’s a high-level overview of the algorithm:

1. Normalization: Input titles are normalized to reduce discrepancies. This includes converting to lowercase and removing special characters.

2. Tokenization: The algorithm breaks down titles into tokens, allowing for more granular matching.

3. Scoring: Each potential match is scored based on various factors, including edit distance and token overlap.

4. Ranking: The best matches are ranked, and the highest-scoring title is returned.

This process ensures that the utility can handle a wide range of inputs while maintaining high accuracy.

We welcome contributions to the AM Algorithm! Here’s how you can help:

1. Fork the Repository: Create your own fork of the project.
2. Create a Branch: Use a descriptive name for your branch, such as feature/add-new-title.
3. Make Changes: Implement your changes and test them thoroughly.
4. Submit a Pull Request: Once you’re satisfied with your changes, submit a pull request for review.

Please ensure that your code follows the project’s style guidelines and includes appropriate tests.

This project is licensed under the MIT License. See the LICENSE file for more details.

• Thanks to the Rust community for their support and resources.
• Special thanks to the contributors who help improve this project.

For any issues or feature requests, please check the Issues section of the repository.

Feel free to reach out if you have any questions or need assistance. Your feedback is always welcome! Enjoy using the AM Algorithm for all your anime metadata matching needs.