The problem WeCare solves

Even in current times, when India is inclining more towards digitalization, the medical sector is left behind. Hence there is a need of improving medical online consultation through digitalization in healthcare to make it more accessible to people in need. Some of the advantages of telemedicine include remote monitoring and reduced medical visits. This can be done through video conferencing or other virtual technologies. Thus, telemedicine saves both the patient and the healthcare provider time and the cost of the treatment. Furthermore, due to its fast and advantageous characteristics, it can streamline the workflow of hospitals and clinics. This technology would make it easier to monitor discharged patients and manage their recovery. As a result, it is sufficient to state that telemedicine can create a win-win situation. Hence the aim is to build an application that solves all these problems in an easy and efficient manner.

Challenges we ran into

How will we integrate the ml avatar model with a web application?
In order to make the application useful, it is important to integrate ml avatar with the web app such that it is easily accessible to the users. For this, we will be embedding the computer vision model in the frontend and launching the model for the user.
Comparing the pose?
We are using cosine similarity algorithm with dynamic time warping to compare the similarity between the two videos.
How will we maintain transparency in crowdfunding?
As we are including crowdfunding in our application, it is very important to be transparent with where the money is going. We are planning to post updates on where and how much money we are sending with credible documents.
How accurate will be the scoring by the unity model?
We plan to use a pose detection model such as PoseNet or Medipipe and use cosine similarity for scoring the user's pose and expert system. This should give us pretty accurate results.