🎬 IMDb Rating Predictor

📌 About the Project

This project is an IMDb Rating Predictor that uses a TabNet Regressor model to predict the IMDb rating of a movie based on its characteristics. The prediction is powered by a Streamlit-based web application, where users can input movie details like runtime, metascore, and number of votes to get an estimated IMDb rating.

🚀 Features

• 📊 Machine Learning Model: Uses a trained TabNet Regressor for predictions.
• 🎥 Movie Data Input: Users can enter movie runtime, metascore, votes, and select genre, director, and cast.
• ⚡ Fast Predictions: The app instantly provides an estimated IMDb rating based on user input.
• 🎭 Interactive UI: Built with Streamlit for a seamless user experience.
• 📂 Pre-trained Model: The model is pre-trained on IMDb’s Top 1000 Movies dataset.

📁 Dataset

The model is trained on the IMDb Top 1000 Movies dataset, which includes details such as:

• 🎬 Movie Title
• ⏳ Runtime
• 🏆 Meta Score (Critic reviews)
• 🗳️ Number of Votes
• 🎭 Genre
• 🎬 Director & Cast
• ⭐ IMDb Rating (Target variable)

🧠 Model Details

• Algorithm: TabNet Regressor (PyTorch-based Deep Learning Model)
• Training Framework: PyTorch + TabNet
• Input Features:
  • Runtime
  • Meta Score
  • Number of Votes
• Target Variable: IMDb Rating
• Evaluation Metric: Mean Absolute Error (MAE)

🛠️ Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/yourusername/imdb-rating-predictor.git
cd imdb-rating-predictor

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the Streamlit App

streamlit run app.py

🏗️ How It Works

1. User Inputs Movie Details 🎬
2. The Model Processes Inputs 🧠
3. Features are Scaled using StandardScaler ⚖️
4. TabNet Model Predicts IMDb Rating ⭐
5. The Web App Displays Results 📊

🔍 Example Usage

• Movie: "Inception"
• Runtime: 148 minutes
• Metascore: 74
• Number of Votes: 2,000,000+
• Predicted IMDb Rating: ~8.8⭐

📜 License

This project is open-source and available under the MIT License.

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👨‍💻 Author

Developed by Chandru S 👨‍💻✨ | AI & Web Developer | Passionate about ML & AI

📩 Feel free to reach out for collaborations!