📊 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

• Live App: Click here to run the app

🛠 Tech Stack

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