Built a Natural Language Processing model to identify duplicate questions using an ensemble model of BERT, Attention based LSTMs, Siamese LSTMs. Achieved accuracy of 90% in detecting similar questions and marking them as duplicate.

• Built a Natural Language Processing model to identify duplicate questions using an ensemble model of BERT, Attention based LSTMs, Siamese LSTMs.

• Achieved accuracy of 90% in detecting similar questions and marking them as duplicate.

More details about the project can be found on the github repository