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).
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Updated
Mar 3, 2026 - Python
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).
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.
Invoice AI assisted encoding for Mom and Pop shops
🤖AI-powered machine learning system for intelligent invoice analysis, risk flagging, and freight cost prediction. Built with Python, Scikit-learn, SQLite, and Streamlit to transform invoice data into actionable insights.
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.
An agentic AI system combining LangChain, Ollama, and ChromaDB to perform anomaly detection on procurement data with explainable insights and semantic memory.
Vendor Invoice Intelligence Portal – A Machine Learning solution for freight cost prediction and invoice approval risk detection with a Streamlit dashboard.
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