🎬 MovieMind: Movie Review Sentiment Analyzer

MovieMind is a deep learning-powered sentiment analysis tool that lets you explore and analyze movie reviews. Built using TensorFlow, Keras, and Streamlit, it allows real-time prediction of sentiment and showcases your skills in NLP, word embeddings, and app development.

📌 Features

• Train and use an LSTM-based sentiment classifier
• Predict sentiment of custom reviews
• Visualize prediction results in an interactive Streamlit app
• Modular project structure for maintainability

🚀 Tech Stack

• TensorFlow & Keras (LSTM model)
• Word Indexing & Padding
• Streamlit (for interactive UI)
• IMDB movie review dataset

📁 Project Structure

MovieMind/
├── app/                # Streamlit app
├── data/               # Placeholder for datasets
├── models/             # Pretrained models (LSTM .h5 file)
├── utils/              # Helper modules
├── README.md

✅ How to Run

1. Install dependencies: pip install -r requirements.txt
2. Save your trained model as models/sentiment_lstm.h5
3. Run the app:

streamlit run app/app.py

✍️ Author

Crafted with ❤️ as a custom portfolio project. Not copied from any GitHub repo. Built to demonstrate real-world NLP + Deep Learning skills.