The problem Calm solves

We have seen a lot of telemedicine companies, but what it lacks from conventional healthcare is lack of data, for eg, you got sick, so you visit a hospital and consult a doctor, he will check your vitals and then asses your disease, but telemedicine consultation they dont have access to this vital data, so the disease prediction can have an ambiguity, its like driving in the dark without an headlight. So what we solve is we actually have wearable sensors that takes your vital datas like heart rate, spo2, temperature, and send this data realtime to the doctors. This increases the disease prediction accuracy, we also implemented features that helps doctors to analyse the entire data in a health report pdf and make it into queryable format kinda like chatgpt, we are using openai llm with langchain.

Challenges we ran into

We had faced lot of issues, like our sensors failed multiple times so we had to buy new one, during the development the micro usb port of esp32 came out so we had to buy new one, another issue was the limit i set in openai got exhausted then i had to remove the limit.