AI/ML Projects Portfolio

AI/ML Projects Portfolio

Cutting-edge applications in Artificial Intelligence, Machine Learning, and Data Science

RAG-based Tax Filing Chatbot

AI/LLM
GPT Pinecone Streamlit

Project Overview

A sophisticated chatbot system that leverages Retrieval-Augmented Generation (RAG) to provide intelligent tax filing assistance. The system combines the power of GPT models with vector search capabilities for accurate and contextual responses.

Key Features

  • Advanced RAG architecture for accurate information retrieval
  • Real-time tax code updates and compliance checking
  • Natural language processing for complex tax queries
  • User-friendly Streamlit interface

Proton Beam Energy Prediction

Deep Learning
Deep Learning Flask GCP

Project Overview

A deep learning model designed to predict proton beam energy for therapeutic applications in medical physics. This system helps optimize radiation therapy treatments by accurately forecasting beam characteristics.

Key Features

  • Neural network architecture optimized for medical physics data
  • Real-time beam energy prediction with high accuracy
  • Flask-based REST API for easy integration
  • Deployed on Google Cloud Platform for scalability

Cardiac Risk Identification

Machine Learning
XGBoost Flask GCP

Project Overview

An XGBoost-based machine learning system for advanced cardiac risk assessment and prediction. This tool helps healthcare providers identify patients at risk of cardiovascular events through comprehensive data analysis.

Key Features

  • XGBoost algorithm for high-performance risk prediction
  • Feature importance analysis for medical interpretability
  • Real-time risk scoring with confidence intervals
  • Secure API deployment for clinical integration

Upcoming Projects

In Development

Computer Vision for Plasma Diagnostics

Deep learning models for automated analysis of plasma diagnostic images and real-time monitoring of fusion experiments.

Computer Vision PyTorch

Graph Neural Networks for Particle Physics

Advanced GNN architectures for particle tracking and event reconstruction in high-energy physics experiments.

GNN TensorFlow

Quantum Machine Learning

Exploration of quantum algorithms for optimization problems in plasma physics and fusion energy research.

Quantum ML Qiskit

Interested in Collaboration?

I'm always excited to work on innovative AI/ML projects that push the boundaries of what's possible.