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This project focuses on predicting the prices of clothes based on various features such as category, size, and color. Leveraging the power of machine learning, specifically supervised learning algorithms, we aim to build a robust predictive model capable of estimating prices with high accuracy.
Implemented movie recommendation with LightGCN. Evaluated against 5 CF methods, emphasizing precision and recall. Created interactive website with HTML, CSS, JS, Flask for personalized recommendations, enhancing UX. Achieved 96% accuracy.
Introducing "ChatMate," your personal conversational companion Built on the foundation of Python and powered by a dynamic JSON database, ChatMate is designed to engage in meaningful conversations, learn from user interactions, and adapt its responses in real-time.
Empowering healthcare with AI, LeukoVision automates the detection of leukemia cells in blood smear images. Revolutionizing leukemia care with speed and accuracy.
An open-source software platform for managing diabetes using a closed-loop insulin delivery system. The platform uses machine learning algorithms and continuous glucose monitoring to automatically adjust insulin dosing, improving glycemic control and reducing the risk of hypoglycemia.
This project offers an artificial intelligence course in French, along with translations into different languages. It provides a comprehensive introduction to AI, covering both symbolic AI and statistical AI.