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📊 Inventory Demand Prediction System (AI-Powered)

This application uses Machine Learning to predict required product quantities based on pricing and marketing budget, achieving a high accuracy rate.

🚀 Key Features

  • High Accuracy: Model performance reached 97.63% (R2 Score).
  • Interactive Interface: Built with Streamlit for real-time user inputs.
  • Predictive Modeling: Utilizes the Random Forest Regressor for robust forecasting.

🎥 Project Demo

🛠 Tech Stack

  • Python: Core logic.
  • Streamlit: Web interface.
  • Scikit-Learn: Machine learning (Random Forest).
  • Matplotlib & Pandas: Data manipulation and visualization.