Added Dementia Prediction using Machine learning

[RajKhanke]

Resolves #318

The Dementia Prediction App is a user-friendly web application built with Streamlit that predicts the likelihood of dementia based on health and lifestyle inputs. It uses a pre-trained Logistic Regression model to analyze features such as age, blood oxygen level, body temperature, weight, education level, family history, smoking status, cognitive test scores, and more. Users input their data through an intuitive form, and the app provides real-time predictions with clear results indicating whether the user is likely to have dementia. The app features a visually appealing interface with custom CSS styles for an enhanced user experience. Installation is straightforward, requiring cloning the repository, setting up a virtual environment, installing dependencies, and running the app. Contributions to the project are welcome, and future enhancements include adding more features, user authentication, integrating health APIs, and improved visualizations.

Models used :
Random Forest , KNN, Naive Bayes , Logistic Regression

(also done complete data analysis ,EDA, feature engineering etc. and a readme.md file for reference)

(deployed the app on streamlit for interactive input and output prediction)

webapp.mp4

[RajKhanke]

@Atharv714 @TAHIR0110 @Avdhesh-Varshney please merge this pr along with level and label of gssoc'24. This will resolve issue no 318.
please also look towards my other pr of maternal health risk and HIV prediction.

[RajKhanke]

@Avdhesh-Varshney ?

[TAHIR0110]

@RajKhanke merged!

[github-actions]

🎉 Your pull request has been successfully merged! 🎉 Thank you for your valuable contribution to our project. Your efforts are greatly appreciated. Feel free to reach out if you have any more contributions or if there's anything else we can assist you with. Keep up the fantastic work! 🚀