MedLok
Revolutionizing Healthcare with AI Telemedicine
The problem MedLok solves
Telemedicine Solution for Healthcare Access in Remote Communities**
Description: In the field of healthcare, remote and underserved communities often lack access to timely medical care due to limited infrastructure and resources. This challenge is particularly prevalent in rural areas, where the nearest healthcare facility may be hours away, resulting in delayed diagnoses and treatment. The task is to develop an innovative solution to improve access to healthcare for remote and underserved communities by leveraging telemedicine technology. This solution should enable individuals in these communities to receive timely medical consultations and diagnoses remotely, reducing the need for physical travel to healthcare facilities. Specifically, the solution should also aim to implement features for secure sharing of medical records, diagnostic images, and other relevant data between patients and healthcare providers to facilitate accurate diagnoses and treatment recommendations. By addressing the objective, the proposed solution aims to bridge the gap in healthcare access for remote and underserved communities, improve health outcomes, and enhance overall healthcare delivery efficiency.
Challenges we ran into
we are getting problem in the deplyment part when we wree merging our ml model with djaango model we are not able to display the pridiction output
Technologies used
