Abstract
Throughout these years, technology has transformed our world and has
become an integral part of our everyday lives. This massive digitalization needs to take
into consideration the elderly community too. However, the elderly community is
usually digitally excluded, but despite these various and diverse difficulties, they
remain driven, engaged, and eager to make an effort, to incorporate developing digital
technologies into their daily life. Hence, this research implements the functionality of
analyzing and determining the emotions of senior citizens by utilizing various natural
languages processing-based machine learning techniques like SVM, Random Forest,
and Decision Tree. Different algorithms were used, and various parameters were
compared to obtain the results. It is seen that SVM gave the best results with an
accuracy of 88%. The android application “Bandhu – your forever friend” would be
accessible and usable by the elderly community. In addition, this proposed application
offers various other features, including learning a new language and listening to the
regional songs which would cater to the multicultural requirements in a diverse country
like India, recording their audio stories to preserve the ethnic culture and inspire others,
and lastly becoming tech-savvy by following easy video tutorials. These features would
not only keep them engaged but also tackle their loneliness and isolation to some
extent, as all these features were considered after surveying around 100 senior citizens'
lifestyles and needs. This app will also make them more digitally independent. All the
above-mentioned functionalities have been implemented using the programming
language Java and the android application is built in Android Studio. Also, the entire
app is in the Hindi language, considering that this language is the most preferred and
spoken language in India.