ML based website to check the COVID-19
The COVID-19 virus has changed the lives of all. We all had faced a lot of losses of everything. There is no vaccine, the only way we can keep ourselves safe is by taking precautions. So, we made a ML model to predict the possibility of the infection of COVID-19.
Our model asks users about the important symptoms declared by the WHO in their guidelines and based on the response, it predicts the possibility. It also asks for whether the person has came in contact of COVID positive patient or not.
We used XGBoost model to train the dataset available on the kaggle after preprocessing. After tuning all the parameters, we got the accuracy of 100%. For the frontend we used html, css, and javascript and backend was developed on Django.
Major challenges was in the training the model and fine tuning the parameters as initially the model was not predicting anything; giving accuracy of 23% and then finally we got rid of it.
We altleast tried to complete the project, and done everything by our own, that makes me feel proud.
I learned about how to fine tune the parameters and the syntaxes error the backend part and a lot more in the frontend. It was really a very tedious job.
More fine tuning, training on more data using deep learning, making it available for android, as a weapon against COVID-19.
- css
- django
- html
- javascript
- machine-learning
- python
- djangorestframework