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assignment_1

automation-in-trading-using-cnn

homested

image-processing-emotion-recognition

protein-subcellular-localisation-prediction

sign-language-recognition-using-cnn-and-gcn

This project focuses on sign language recognition, using WLASL dataset for training models—one with CNN and the other with TGCN. The goal is to improve communication between the deaf and hearing communities, with potential applications in assistive technologies, education, and human-computer interaction.

video-processing-slr

A comparative study of Graph Convolutional Networks with traditional Neural Networks for Multimodal Data.

voicesculptor

This project aims to not only recognize speakers but also to extract meaningful features from their voices that reveal fascinating insights about their emotional states, physiological characteristics, age, gender, and even their regional accents.