Next Word Predictor using LSTM

Overview

The LSTM Next-Word Predictor is a deep learning-based application designed to predict the next word based on user input (a word or sentence). Trained on a predefined dataset, the model leverages LSTM (Long Short-Term Memory) networks for sequence learning, ensuring contextually accurate and relevant predictions.

Features

- Accepts user input (word or sentence) to generate the next word suggestion.

- Built with LSTM architecture optimized for text sequence modeling.

- Trained on a predefined dataset for reliable predictions.

How It Works

1. The user inputs a word or sentence.

2. The model processes the input and predicts the most likely next word.

3. The output is displayed as a word suggestion for the user.