Ashvinee

Meticulously pre-processed these images for face alignment and resizing using MXNet. Quantized the model generating a perfectly optimized model.

Created a multi-modal Large Language Model (LLM) capable of processing and integrating text, image and, audio as input and generating output as a text format. 

Emotion recognition on 'FRIENDS' audio dataset. The audio dataset is preprocessed for the outlier, data distribution, augmentation, etc. Worked on different features of the audio and visualized it.

Created this ecommerce site in workshop at Nutanix

Created a full game using Java for visualization as well logical part. It was part of my collage project with contributions from friends.

Food recommendations based on present ingredients. It uses Graph Neural Network. It's built from the scratch. It is integrated with the MLOps using AWS cloud.

Used for language Identification and validation. Used LSTM deep learning algorithm. It is part of my research paper 'An architecture of machine translation'.

A python library for adding Gaussian and Binomial distribution. This package is available on the PyPI website.

Using augmented reality to create 3D of the object for educational purpose.