CareMate

Inspiration

We noticed a significant gap in healthcare accessibility in the Montreal area, where many people spend 9 to 10 hours waiting for medical assistance—only to find out their condition wasn't urgent. Many individuals simply don't know what to do when experiencing pain, leading to unnecessary hospital visits and delays for those who truly need urgent care.

To solve this issue, we created CareMate—an AI-powered medical assistance system designed to provide immediate guidance and support to anyone in need.

What makes CareMate unique is its focus on mental health and early disease detection:

Mental Health Support: We’ve integrated a specialized AI-powered psychological consultation module to help individuals struggling with depression, aiming to offer guidance before they reach a crisis point.

Chicken Box Scanner : Users can upload a photo of their skin, and our AI model analyzes it to detect potential signs of skin cancer, helping with early diagnosis and reducing the need for unnecessary visits.

Our goal is to bridge the gap in healthcare accessibility, reduce wait times, and offer fast, intelligent, and life-saving support to everyone.

What We Learned

AI in healthcare and its potential to revolutionize medical assistance
Machine learning and image processing in developing models for mental health assessment and skin cancer detection
User experience and accessibility to design a system that is easy to use for everyone
Problem-solving and innovation to address real-world healthcare challenges with AI-driven solutions

How We Built CareMate and The Challenges We Faced?

Research and data collection to study healthcare gaps and gather medical datasets
AI model development to train machine learning models for mental health consultation and skin cancer detection
System architecture designed to be fast, secure, and scalable
User testing and optimization to improve accuracy, speed, and ease of use