Published Paper Details:

Online shopping has significantly transformed the retail experience, enabling users to purchase groceries and daily essentials conveniently from home. Simultaneously, cooking tutorials on platforms like YouTube have become a major source of culinary learning and inspiration. However, there remains a gap between watching a recipe video and purchasing the required ingredients efficiently. The proposed AI-Powered Smart E-Cart System bridges this gap by integrating artificial intelligence, natural language processing (NLP), and computer vision techniques to automate the shopping process. Users can paste a YouTube recipe link into the system, which then extracts ingredient information using speech-to-text, caption analysis, and image recognition. The system identifies food items, detects specific vegetable cutting types, and automatically generates a customized shopping list. This intelligent integration enhances user convenience, minimizes manual effort, and ensures accurate ingredient selection. The system's modular design allows scalability for future integration with e-commerce platforms and smart kitchen devices, marking a step forward toward intelligent digital retail experiences.