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An AI-powered coaching assistant for supply chain analysts. Uses industry best practice papers, PDF ingestion, and retrieval-augmented generation (RAG) with Streamlit UI to help analysts structure problem-solving under pressure
python script to read component information for the research paper, "Aegis: A Framework to Detect Compromised Components in the Supply Chain of Information Technology Infrastructure."
Developed a data-driven hospital inventory management system using Python. The project analyzes medical stock and patient data to calculate optimal reorder points, preventing medicine shortages and reducing waste.
Python-based blockchain prototype for transparent and tamper-proof order tracking across distributed offices. Demonstrates data integrity, accountability, and collaboration in logistics operations.
This project helps reduce walking time in warehouses using a Python tool that simulates picking routes. Users can test strategies like wave picking and clustering on a 2D layout to find the most efficient method.
AI-powered demand forecasting for small food businesses. Analyzed 2 years of real bakery data from Wichita Falls, TX. Achieved 30% waste reduction through Prophet time series + GPT-4 hybrid system. FastAPI + Streamlit.
Python tool to fetch GitHub SBOMs (Software Bill of Materials) for repositories and their dependencies. Automatically discovers, downloads, and analyzes dependency SBOMs with component counting, mapping PyPI/npm packages to GitHub repos. Generates comprehensive reports for security and compliance tracking.