Next Word Predictor: Hamlet LSTM-RNN

This project is a deep learning-based web application that predicts the next word in a sequence of text. The model is a Long Short-Term Memory (LSTM) neural network trained on the text of William Shakespeare's Hamlet.

🛠️ Features

• Deep Learning Model: Utilizes an LSTM-RNN architecture for sequence prediction.
• Natural Language Processing: Employs word tokenization and padding to process input text.
• Interactive Interface: A user-friendly UI built with Streamlit for real-time word generation.
• Early Stopping: The model was trained with early stopping to prevent overfitting and ensure better generalization.

Tech Stack

• Frontend: Streamlit
• Machine Learning Framework: TensorFlow / Keras
• Data Manipulation: Pandas, NumPy
• Preprocessing: Scikit-Learn

Installation & Setup

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/SidoJain/Next-Word-Prediction-LSTM-RNN.git

2. Create a virtual environment:

   python -m venv .venv
   source .venv/Script/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Launch the app:

   streamlit run app.py