🛒 Retail Sales Prediction
This Streamlit app predicts daily retail store sales using a trained Random Forest regression model.
🚀 Features
- Predict sales based on store and promotion details
- Clean interactive UI built with Streamlit
- Machine Learning model trained using Scikit-learn
- Model hosted externally to avoid GitHub size limits
🧠 Model Details
- Algorithm: Random Forest Regressor
- Trained on historical retail sales data
- Features include:
- Day of week
- Customers
- Promotions
- Holidays
- Store type & assortment
- Competition distance
🖥️ How it Works
- User inputs store and date-related features
- App downloads the trained model if not available
- Model predicts expected sales
- Prediction is displayed instantly
📦 Tech Stack
- Python
- Streamlit
- Pandas
- Scikit-learn
- Joblib
- Hugging Face Spaces
⚠️ Notes
- Model file is not stored directly in the repository
- The app downloads the model securely at runtime
👩💻 Author
Pavithra Palanivel
✨ Deployed using Hugging Face Spaces
