  Tamil is a Dravidian language that is commonly used and spoken in the
southern part of Asia. In the era of social media, memes have been a fun moment
in the day-to-day life of people. Here, we try to analyze the true meaning of
Tamil memes by categorizing them as troll and non-troll. We propose an
ingenious model comprising of a transformer-transformer architecture that tries
to attain state-of-the-art by using attention as its main component. The
dataset consists of troll and non-troll images with their captions as text. The
task is a binary classification task. The objective of the model is to pay more
attention to the extracted features and to ignore the noise in both images and
text.
