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🚀 Java Autocomplete Tool

A high-performance Java-based autocomplete system that utilizes a custom-built Trie and an optimized HashMap to efficiently generate word suggestions from a user-inputted word bank. This tool is designed for blazing-fast performance, handling large datasets with ease, and providing accurate and scalable autocomplete suggestions.


✨ Features

  • Fast and Efficient Autocompletion
    Combines the power of a custom Trie and HashMap structure to deliver lightning-fast word suggestions.

  • 📚 Handles Large Datasets
    Processes massive datasets with exceptional speed and accuracy, making it ideal for real-world applications.

  • 🔧 Scalable Performance
    Extensively tested on both words and numerical datasets to ensure reliability across various use cases.


📊 Performance Benchmarks

  • Processed 350,000 words from a dictionary in under 1/10 of a second.
  • Processed 8,000 phone numbers in just 450 milliseconds.

This demonstrates the tool’s ability to handle large-scale data efficiently while maintaining high accuracy.


🗂️ File Descriptions

Here’s a breakdown of the repository files:

  • Autocomplete.java
    Implements the main logic for the autocomplete system, combining the Trie and HashMap structures to provide fast and accurate word suggestions.

  • AutocompleteTest.java
    Contains unit tests for validating the functionality and performance of the Autocomplete class.

  • HashMap.java
    A custom implementation of a HashMap optimized specifically for use in the autocomplete system.

  • HashMapTest.java
    Includes test cases to ensure the correctness and efficiency of the custom HashMap implementation.

  • ITerm.java
    Defines an interface for terms used in the autocomplete system, specifying methods like comparison and retrieval of term weights.

  • Trie.java
    Implements a Trie data structure tailored for efficient word storage and retrieval in the autocomplete system.

  • TrieTest.java
    Provides unit tests to verify the correctness and performance of the Trie implementation.


🛠️ How to Use

Follow these steps to use this project:

  1. Clone this repository to your local machine:
    git clone https://github.com/muditm006/TextAutocomplete.git cd TextAutocomplete

  2. Compile all .java files using your preferred Java compiler:
    javac *.java

  3. Run the AutocompleteTest.java, HashMapTest.java, or TrieTest.java files to test individual components: java AutocompleteTest

  4. Integrate Autocomplete.java into your application by providing it with a dataset (e.g., words or numbers) as input. Use its methods to retrieve autocomplete suggestions based on user queries.


📝 Notes

  • This project is designed to be modular, allowing you to extend or modify components like the Trie or HashMap as needed.
  • The performance benchmarks were achieved on a modern machine; results may vary depending on your hardware.
  • Ensure that your dataset is properly formatted before feeding it into the system for optimal results.
  • Unit tests are included (AutocompleteTest, HashMapTest, TrieTest) to help you validate functionality after making changes.

🌟 Why Use This Tool?

This project is perfect for developers building applications requiring fast autocomplete functionality, such as:

  • Search engines 🔍
  • Chatbots 🤖
  • Data entry tools 📝
  • Predictive text systems 📱

With its hybrid design combining Tries and HashMaps, this tool ensures both speed and accuracy, even with large datasets.


💡 Future Improvements

Some potential enhancements include:

  1. Adding support for fuzzy matching (e.g., handling typos).
  2. Extending support for multilingual datasets.
  3. Providing an API wrapper for easier integration into web or mobile applications.

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