PathoScan Technologies Inc. aims to enhance the AI capabilities of its flagship product, the PathoBox, a device designed to assist in the rapid analysis of pathological data. The current AI functionality, while effective, requires optimization to improve accuracy and processing speed. The project involves analyzing the existing AI algorithms, identifying areas for improvement, and implementing enhancements. Learners will apply their knowledge of machine learning and data analysis to refine the AI models, ensuring they are robust and efficient. The goal is to achieve a more responsive and precise AI system that can better support healthcare professionals in diagnosing and analyzing pathological samples. This project provides an opportunity for learners to engage with real-world AI applications in the healthcare industry.

The project deliverables include a detailed report outlining the analysis of the current AI system, proposed improvements, and the implementation of enhanced algorithms. Additionally, learners will deliver a presentation demonstrating the improved functionality of the PathoBox AI. The final deliverable will be a set of optimized AI models integrated into the PathoBox system, accompanied by documentation detailing the changes made and the expected impact on performance.