Team - Artificial Alliance

Mo Suraksha

Website URL - https://mo-suraksha.herokuapp.com/

Minds that cure, hearts that care

Now you can predict the disease you are suffering from with just a few clicks.

We have three models to predict the disease you are suffering from.

You can choose the disease you want to predict from the sidebar.

Setting up

Make sure you have python installed in your machine. To clone the project, enter this command:

pip install streamlit pickle pandas streamlit_option_menu hashlib sqlite3

Now clone this github repo by this command. Make sure you have git installed.

cd <path-to-save-directory>
git clone https://github.com/Parnani/Artificial_Alliance-Mo_Suraksha.git

To run the web app locally in your machine, run this command

cd <path-to-folder>
streamlit run app.py

Usage

• Navigate the app using sidebar between the menues.
• Modify the sliders of the fields as per the test result data.
• To save data, you will first need to sign up to the account. To create a new account:
  • Navigate to 'View Stored Data'
  • You will be asked to sign up there. Make sure you remember/save password
  • Use same credentials to save all test data.
• To view saved data, simply goto 'View Stored Data'. Then enter user details and check 'login' box.

Known issues

• Implementation of signup/login button everywhere
• Slower initial load time (time will be consumed in training ML datas)
• Laggy graph
• Needed to press C and clear streamlit cache in case some weird bugs comes up

Feel free to star this repo if you loved it

Credits

GitHub / Parnani

Github / TechyAditya

GitHub / sushovanb02