The application addresses a significant void within the neurology healthcare sector, wherein physicians encounter challenges in accurately tracking treatments and monitoring patients in real-time. Currently, the industry heavily relies on patient feedback, making it difficult to ascertain the efficacy of treatments. This gap hinders the attainment of optimal patient care. By providing a platform for real-time monitoring and data tracking, the application enhances the precision and effectiveness of neurological treatments. It offers healthcare professionals valuable insights into patient progress, enabling informed decision-making and personalized care plans. Consequently, it fills a critical need within the neurology field, facilitating improved treatment outcomes and patient well-being.
The machine learning model experiences significant latency when deployed on Render, resulting in delayed output. Despite achieving a 95% accuracy rate, our model falls short in competing within the healthcare sector. Extensive efforts to integrate AR games into the application were thwarted due to widespread device incompatibility.
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