This project utilizes machine learning techniques to detect brain tumors in MRI (Magnetic Resonance Imaging) scanned images. The goal is to develop an accurate and efficient system for early detection of brain tumors, which can aid medical professionals in diagnosis and treatment planning.
This project aims to demonstrate the potential of decision trees as a tool for analyzing
football data and provide insights into the game that can be useful for coaches, analysts, and
fans.
The project assists chronic patients in taking multiple medications correctly and avoid taking the
wrong medications, which may cause drug interactions, and is providing other medication-
related functionalities such as reminders to take medications on time, medication information,
and chronic patient information management.
The system which we designed consists of an intelligent medicine recognition device,
an app running on an Android-based mobile device. Currently, eight different medicines can
be recognized by this product. The experimental results show that the recognition accuracy
reaches 96.6%.