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📦 Retail sales forecasting and inventory optimization system built with Python. Analyzes 2-year sales data across 5 products, predicts weekly demand using Linear Regression, and calculates safety stock & reorder points. Built in Jupyter Notebook.
AI-powered restaurant inventory optimization using Deep Reinforcement Learning (DDQN). Achieves 10.2% profit improvement over traditional methods. Includes research notebooks + live web app. Built with PyTorch & Flask. 🏆 Winner: Double DQN