Abstract: This project is a visitor management application developed using the Tkinter library in Python. The main functionality of the application is to capture and process images of various ID documents, such as Aadhaar Cards, PAN Cards, Driving Licenses, and Voter IDs. The application utilizes Optical Character Recognition (OCR) to extract relevant details from the captured images, including the visitor's name, document number, gender, and date of birth, and stores this information in a MySQL database. This application generates the digital badge which is unique for each visitor and is used to track check-in and check-out times via QR code scanning. The application includes voice assistance functionality to guide the user through various stages. Additionally, the service provides reporting and data analysis capabilities, allowing users to view visitor statistics, such as daily, weekly, and monthly visitor numbers per category, and perform cluster analysis for identification trends and patterns. Overall, this project demonstrates the integration of computer vision, data processing, and database management techniques to create a comprehensive visitor management system with a variety of reports to work with, making it a valuable tool for organizations requiring effective management and tracking of visitors.

Keywords: Visitor, AI, Management, Automated

| DOI: 10.17148/IARJSET.2024.11558