AI-powered system that predicts freight costs and flags risky vendor invoices using machine learning. Built with Python, Scikit-learn, SQLite, and Streamlit.
The Invoice Fraud Detection System is a comprehensive tool designed to analyze invoices for potential fraud. It uses advanced techniques such as OCR (Optical Character Recognition), pattern matching, and risk scoring to identify anomalies in invoices. The system supports multiple formats, including PDFs and images, and provides detailed reports.
An AI-powered invoice and receipt analyzer that extracts structured invoice data from images (JPG/PNG) and PDF documents using a Large Language Model (LLM).
Invoice AI assisted encoding for Mom and Pop shops
An agentic AI system combining LangChain, Ollama, and ChromaDB to perform anomaly detection on procurement data with explainable insights and semantic memory.
A FastAPI and Gemini LLM-powered invoice reimbursement system that uses Retrieval Augmented Generation (RAG) to analyze documents against HR policies and provides an intelligent chatbot interface.
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