  In recent years, there has been a lot of focus on offensive content. The
amount of offensive content generated by social media is increasing at an
alarming rate. This created a greater need to address this issue than ever
before. To address these issues, the organizers of "Dravidian-Code Mixed
HASOC-2020" have created two challenges. Task 1 involves identifying offensive
content in Malayalam data, whereas Task 2 includes Malayalam and Tamil Code
Mixed Sentences. Our team participated in Task 2. In our suggested model, we
experiment with multilingual BERT to extract features, and three different
classifiers are used on extracted features. Our model received a weighted F1
score of 0.70 for Malayalam data and was ranked fifth; we also received a
weighted F1 score of 0.573 for Tamil Code Mixed data and were ranked eleventh.
