GitLab

An advanced Streamlit dashboard providing real-time and historical analytics for PayPal USD (PYUSD) on the Ethereum blockchain. This version (v2.1) is powered by Google Cloud Platform (GCP) Blockchain RPC, MongoDB for data caching, persistence, and search, a Google Gemini AI assistant, and a NewsAPI feed. It offers extensive event tracking (Transfers, Mint, Burn, Approvals), network graph visualization, historical analysis, address tagging, a MongoDB-backed watchlist, and a conceptual simulation of bio-implant payments.

This project explores the use of big data analytics and machine learning techniques to predict the likelihood of ICU admission among COVID-19 patients. It includes data cleansing, exploratory analysis, classification models, and clustering, implemented using Python (Pandas, Scikit-learn, Imbalanced-learn) and PySpark for distributed processing.

Official inference library for Mistral models

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Computational Research on AStrophysical Halos

The dataset consists of Normal, Diabetic Retinopathy, Cataract and Glaucoma retinal images where each class have approximately 1000 images. These images are collected from various sources like Idred, Ocular recognition, HREF etc. Get the dataset on the website Kaggle.com in the public domain: https://www.kaggle.com/datasets/gunavenkatdoddi/eye-diseases-classification/data.

This project I created to show how to develop a docker image to use for data science applications