Inspiration
During covid times, people are scared to go to hospitals to check whether they are affected by covid or not ,so there are already many covid prediction systems for people to test at home so we wanna extend to various diseases that can be predicted using ML and DL.
What it does
It uses a website to collect data from the user and the ML model will predict the results for the particular disease.
How we built it
Basically we build a website using frontend tools like html,css, bootstrap and the ML model is built using various tools like numpy,pandas,scikit-learn. The ML model is trained using various algorithms like logistic regression, K-Nearest neighbour and decision tree and the ML model is deployed using flask
Challenges we ran into
It's hard to pre-process the dataset and the deployment too.
Accomplishments that we're proud of
We have successfully completed implementing the home page for our website and as of now, we have bulid 5 ML models with accuracy ranges from 70-99%
What we learned
We learnt new algorithms like KNN and decision tree and have the basic idea of how to deploy the ML model using flask
What's next for Untitled
As of now, we have just built for diseases that can be classified, later we are planning to attempt for ocular disease detection and skin disease detection by uploading the photo or using the web-cam,our website can able to process those images using DL algorithms like ConvNets so that the users can avail such cosy functions from our website. We are also planning to build a system that gives suggestions like home remedies, specialist recommendations, nearby hospitals etc for a particular disease.