Inspiration
Medical errors are a significant cause of patient harm, leading to adverse outcomes, prolonged hospital stays, and increased healthcare costs. By developing software that streamlines processes and provides decision support, we can significantly reduce the occurrence of these errors.
What it does
It is used for hospital management as well as prediction of disease by checking symtoms ,it provides the necessary medicine. It also has a feature to identify nearby hospitals It has a feature to check wether the medicine is available in city It allow to schedule appointment with doctor It provides a teams like interface to conduct a meeting and interact with doctor
How we built it
First task was to gather datasets to train model Next was to develop model using scikit-learn library Then after development of model we used the streamlit framework to use graphics for use of our model taking data from user and predict disease and medicine for the symptoms Now we required a good UI for other tasks for that we used HTML CSS and JavaScript to create an interactive user interface consisting of many components such as medicine availability check ,search doctor,navbar,home ,contact us ,chatbot etc
Challenges we ran into
Making a simple yet effective model Integration of backend with frontend
Accomplishments that we're proud of
What we learned
Use of machine learning in models Use of streamlit framework Integration of backend with frontend Learned about symptoms of various diseases Basic information about medicines Learned about various APIs
What's next for Moksh
Addition of AI chatbot which can do complete analysis adding more and more models for prediction of different diseases
Built With
- css
- html5
- javascript
- python
- scikit-learn
- streamlit
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