AutoSuggest-words

Features

This is a Python program that demonstrates an autocomplete feature using the Tkinter library for the GUI and SQLite for database operations.

• SQLite Database: It uses a SQLite database named 'taxonomy_names.db' which contains a table 'organism_names_fts' to store and retrieve organism data.
• Levenshtein Distance Algorithm: The application uses this algorithm to find and suggest the closest matching organism names based on user input.
• Dynamic User Interface: Suggestions update dynamically with each keystroke.

Installation

1. Clone the repository

git clone https://github.com/tracywong117/AutoSuggest-words.git

2. Navigate to the project directory:

cd AutoSuggest-words

3. Install the required packages:

pip install -r requirements.txt

Usage

python main.py