Almost majority of the population out their face an problem of availing medical facilities let alone the consultation and due to this pandemic, many people where faced with problems such as transportation or unavailability of the doctors to tend to their diseases, which sparked an idea in our minds to build a consultancy system which not not makes it cheap and affordable to the financially stricken people or people who need immediate information regarding what disease they are suffering from, but also help them identify the seriousness of the disease or cancer that's taken root in them. We were inspired by the many possibilities the latest tech like Image segmentation using Machine Learning can help us solve the impending problem that the people facing in this pandemic situation
What it does
Cordial care predict different cancer diseases like Alzheimer's, chest, lung, skin cancer and produces output as a possibility and also integrated an management system for admin , doctor and patient respectively so we can book appointment with doctor online and don't have to wait in long queue for appointment.
How we built it
Challenges we ran into
The number of challenges that we faced was no joke, Time was a constraint as we had to schedule our time for this project from our day to day hectic schedule, during execution there were errors where we had to focus on debugging them. The biggest obstacle that stood in front of us was in integrating the Machine Learning to the Asp.net, which we where able to pull of using python. Overcoming all the challenges we where able to create an outstanding innovative project which makes proud of building it and some trouble with the code as well, but all of that apart we all feel very proud that overcame all those problems and created a beautiful website.
Accomplishments that we're proud of
The implementation of the entire project helped us realize the importance of collaboration and the dynamics of working in a team In every Hackathon, proper time management plays a crucial role that can become a determining factor for the overall progress; we understood the instrumentality of following the code of conduct and treating fellow developers with respect while learning and improving through their feedback.
What we learned
We learned a lot from this hackathon from time management, team working skills, the code itself, and also a lot of different diseases. We are very glad that we got so much out of this hackathon.
What's next for Cordial Care
Add more ML model and create dashboard for the management system.
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