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1. Abstractive-Text-Summarization-using-seq-2-seq-RNN-s Abstractive-Text-Summarization-using-seq-2-seq-RNN-s Public

   Abstractive text summarization done with the help of LSTMs using encoder-decoder model which was able to achieve accuracy of 77.27% on training set and cumulative BLEU-4 score of 0.8800 on test set.

   Jupyter Notebook 10 2

2. Multilingual-Translation-using-Deep-Neural-Networks Multilingual-Translation-using-Deep-Neural-Networks Public

   The objective of this project is to build a Text Language Translator where the input is a sequence of words & the output is translation of the given sequence in desired language.

3. Async-FIFO-with-CDC-verification Async-FIFO-with-CDC-verification Public

   This project demonstrates expertise in Clock Domain Crossing (CDC) design and verification. The design implements a robust parameterized async FIFO with comprehensive SystemVerilog Assertions (SVA)…

   SystemVerilog

4. MNIST-CNN-Hardware-Accelerator MNIST-CNN-Hardware-Accelerator Public

   Hardware-Software Co-design of CNN for MNIST Digit Recognition

   Jupyter Notebook