Projects

Sentiment Analysis and Text Generation

  • Used LSTMs, GRUs in Tensorflow to perform advanced sentiment analysis, text generation and identify duplicate questions, achieving a 98% accuracy on sentiment analysis.

  • Used encoder-decoder and self-attention to machine translate complete sentences, summarize text and question-answering

Online Blog Application

  • Built an online blog application for users with registration, email verification, file upload and publish/delete posts functions.

  • Python and Django for the backend, HTML, CSS, JavaScript and Bootstrap for the frontend