Prime-Zy/Sales-Forecasting-and-Optimization

Digital Egypt Pioneers Initiative (DEPI) Graduation Project # Sales Forecasting & Optimization System **Graduation Project for IBM AI & Data Science (DEPI)** --- ## 📽 Demos - 🌐 **Live Streamlit App**: Sales Forecasting Streamlit - 🌐 **Live Flask App**: Sales Forecasting Flask --- ## 🌟 Key Features ### 🔮 Intelligent Forecasting System - Automated prediction engine - Self-optimizing algorithms that improve over time - Real-time demand planning capabilities - Smart parameter configuration system ### 🖥️ Business Applications 1. **Enterprise Forecasting Application** - Production-ready web service 2. **Executive Dashboard** - Intuitive business intelligence portal 3. **Analytics Workbench** - Interactive data exploration suite ### 📦 Data Foundation - Automated data processing pipelines - Advanced pattern recognition systems - Multi-source data integration - Automatic anomaly detection --- ## 🛠 Technical Stack | Component | Technologies Used | |-----------------|--------------------------------------------| | Core ML | Python 3.10, Scikit-learn, TensorFlow 2.12 | | Forecasting | Prophet, Statsmodels, XGBoost | | Visualization | Plotly, Dash, Streamlit, Altair | | Infrastructure | Flask, Docker, Redis, Celery | | Optimization | Optuna, OR-Tools, PuLP | --- ## 📂 Project Structure ```plaintext Sales-Forecasting-Optimization/ ├── data/ │ ├── output.csv │ └── stores_sales_forecasting.csv │ ├── notebooks/ │ └── forecasting_model.ipynb │ │ ├── flask_app/ │ ├── app.py │ ├── best_model.pkl │ ├── features_columns.pkl │ ├── README.md │ ├── requirements.txt │ ├── .env │ ├── static/ │ │ └── styles.css │ └── templates/ │ ├── index.html │ └── documentation.html │ ├── streamlit_app/ │ ├── app.py │ ├── best_model.pkl │ ├── features_columns.pkl │ ├── requirements.txt │ └── README.md │ ├── dashboard/ │ ├── dashboard_app.ipynb │ ├── cleaned_data.csv │ └── README.md │ ├── model …