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.
-
⚡ 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.
- ✅ 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.
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 theAutocomplete
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 customHashMap
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 theTrie
implementation.
Follow these steps to use this project:
-
Clone this repository to your local machine:
git clone https://github.com/muditm006/TextAutocomplete.git cd TextAutocomplete -
Compile all
.java
files using your preferred Java compiler:
javac *.java -
Run the
AutocompleteTest.java
,HashMapTest.java
, orTrieTest.java
files to test individual components: java AutocompleteTest -
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.
- 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.
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.
Some potential enhancements include:
- Adding support for fuzzy matching (e.g., handling typos).
- Extending support for multilingual datasets.
- Providing an API wrapper for easier integration into web or mobile applications.