E-Prognosis
Hope is a beautiful thing.And when hope is based on science and evidence,it's even better.Easy detection of diseases right at your own home and providing required help to fight it.
Created on 11th September 2022
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E-Prognosis
Hope is a beautiful thing.And when hope is based on science and evidence,it's even better.Easy detection of diseases right at your own home and providing required help to fight it.
The problem E-Prognosis solves
E-Prognosis health application has been created with a vision of helping and assisting people in the prediction of harmful diseases right in their own homes. We all need to go through essential health and medical screenings regularly, at least for preventive action. Routine medical screenings may detect any causal health problems earlier, helping older adults to get the appropriate care or treatment before their conditions get worse. Through the use of technology, we have tried to provide a solution to this. Upon detection, proper health insurance will be recommended. By logging on to our website you will be redirected to a menu where all the different diseases that we can predict would be present. Upon selecting the required disease and filling up certain parameters with a simple yes or no you will be told whether you are suffering from that disease or not. Our project also contains a health blog where people can directly look up a certain issue they are having and read articles about the same and be informed correctly about the disease. We don't stop over here and go one step forward to predict the expense that you may bear if you go for buying health care insurance.
One of our commitments is to provide necessary and effective medical screenings for citizens and offer solutions, and precautions as required by the user. The prediction of the diseases we are dealing which requires absolute certainty. By use of technology, we are ensuring that there is no error while dealing with these diseases.
This project has a simple interface and makes it possible for everyone to use it. Now with a few clicks, you will be able to detect early and seek early treatment as well.We have tried our level best to not only detect the disease but also provide a solution to the same.
We have also decided to partner with neary hospiltals specialized in the diseases we have listed and might as well run advertisements for them and thereby converting it into a monetized project.
Challenges we ran into
The project was a roller coaster ride for us.
The major issue was to increase the accuracy of Machine Learning models. Finding data and then cleaning them was another issue. A thorough understanding of data and applying good data preprocessing and feature extraction techniques helped to overcome this. Another task was choosing algorithms which will give good accuracy. Running various algorithms and reading their documentation helped us in choosing the best algorithm.
Another issue which we ran into was making API for the model. Flask framework came to the rescue. A proper understanding of routes and models made helped us in fetching requests and sending responses. Finally, the API was made and tested with Postman.
Next Frontend, Backend and the API were integrated and tested locally.
Lastly, the issue was deploying the API and the website. Heroku documentation and knowledge of past deployments helped to overcome that issue. And finally, the API and Website were deployed and the website was tested.
Overall it was fun and a great learning experience .