Developed a sentiment analysis platform designed to analyze customer reviews in the e-commerce domain. The platform delivers valuable insights to support data-driven decision-making, enhance customer experience, and help businesses achieve their strategic goals.

A web-based app that uses the Quantized Llama 2 model to provide feedback to the code uploaded by users.

In this project, a Convolutional Neural Network (CNN) is used for EEG-based emotion recognition. The model extracts spatial features from EEG signals to classify five emotions effectively. Preprocessing techniques enhance signal quality, improving model performance. Experimental results demonstrate the CNN’s potential for accurate emotion classification, contributing to advancements in affective computing and brain-computer interfaces.

VScode extension which provides boilerplate code for C, C++, C#, go, java and snippets more than 20 languages and Built-in ChatGPT functionality within VS Code.