This project is a lightweight AI-driven tool for analyzing and optimizing space utilization.
- Occupancy data analysis across zones
- Utilization classification (underused, efficient, overcrowded)
- Forecasting of future space demand
- AI-generated recommendations
- Key insight summary for decision-making
- Python
- Streamlit
- Pandas / NumPy
- Matplotlib
Designed for facilities management, retail layouts, and workspace optimization.
Synthetic dataset generated to simulate real-world occupancy patterns.