Developed an EEG-based LSTM classification model to differentiate motor imagery from real hand movements, achieving 62.5% accuracy in imagery vs. action and 72.5% accuracy in rest vs. action, advancing applications in BCI and motor rehabilitation.

This beginner level keychain was designed using Onshape. The design was exported as an STL and printed using a Monoprice Voxel printer with PLA material. The estimated time for printing was ~50mins.

This project involves developing a Mask Detection Application using MATLAB App Designer. The app uses image processing and machine learning techniques to detect whether a person is wearing a mask or not. The graphical interface (GUI) allows users to upload an activate a webcam, process the input, an...