Edited & modified existing project from: https://github.com/mre/receipt-parser/

Fuzzy logic parser and pendulum simulation

An implementation of a fuzzy-logic rule based system with file parser starting from square one

A lightning-fast, offline-first expense tracker using rule-based and fuzzy matching logic to parse natural language inputs

Takes input from files, parses it. Solves the problem using fuzzy logic. Part of Knowledge Representation and Reasoning coursework.

A Python CLI tool that calculates shortest paths on the Namma Metro network using Dijkstra's Algorithm. Features real-time GeoJSON parsing, fuzzy string matching, and line interchange logic.

AI-Powered Data Query Tool Revolutionize your data exploration with intelligent query handling powered by BERT embeddings and fuzzy logic. Features include dynamic column selection, context-aware query parsing, and precise handling of complex conditions. Perfect for developers and data scientists seeking smarter, faster insights.

A headless agentic AI pipeline for wholesale inventory management. Features Roman Urdu NLP with Gemini 1.5 Flash, fuzzy logic parsing for regional dialects, and secure SQLite storage. Optimized for edge hardware.

A Flask-powered web app that predicts car insurance claims using a Scikit-learn model. Features an intelligent OCR scanner with Tesseract and fuzzy logic to auto-fill forms from a driver's license image, including database lookup and live parsing.

Invoice Sentinel automates financial reconciliation by parsing unstructured documents (PDFs/Images) via OCR and Regex. It pairs fuzzy logic matching with Isolation Forest ML to detect fraud and discrepancies. Built on Streamlit, this tool streamlines accounts payable and minimizes financial risk.

This project implements a candidate ranking system that matches job descriptions (JDs) with a dataset of candidate profiles. It uses a combination of fuzzy logic, structured parsing, and semantic search to rank candidates based on how well they align with the role requirements.