The problem MedEva solves
MedEval simplifies the task of monitoring hospital facilities by leveraging machine learning to analyze real-time video feeds. It enables conducting random checks, ensuring hospitals maintain all necessary equipment at all times and also eliminates the need for physical presence. This approach reduces the likelihood of malpractices during audits, promoting transparency and accountability in healthcare facilities.
Challenges we ran into
Finding a relevant dataset: We found a dataset (Hospital Indoor Object Detection) depicting hospital room images which consisted of approximately 5000 images from a GitHub profile. The dataset had a lot of redundant images and few images that weren’t relevant for our problem statement.
Data Cleaning: The dataset had to be cleaned and reduced to 2641 images, only including images of hospital rooms and equipment. This made the dataset more efficient and easy to train.
Technologies used