Detailed Analysis of EEG brain wave data and giving a comparative study for outshining performance of LSTM and CNN on it.
Published research paper in IEEE Digital Xplore library – DOI : 10.1109/i-PACT52855.2021.9696981

Predicted US stock price based on UCI Data using various models as Stacked LSTM layers, CNN and ARIMA.
Performing Feature engineering to optimize the results and help improving the RMSE.

Using transfer learning for strong image classification deep neural networks as VGG16 and Inception3 and detecting infected leaves.