Research. Shared.

An audiobook library cleanup and management tool built with Python and Django. Leveraging m4b-merge for audiobook standardization and editing. Ideal for enhancing audiobook library management.

📚 A Library Management System Written in Django with an API

A PyTorch version of mask-rcnn based on torchvision model with VOC dataset format.

Tools used for harmful language description audit in Duke's Rubenstein Library, including binaries, documentation, and source code for public use.

Self-Driven Autonomous Python Libraries

This web application is designed to simplify the management of books, members, and transactions within a local library. With a user-friendly interface and essential features, this tool aims to enhance the overall efficiency and organization of library operations.With API integration.Project developed using python flask

Library management system using python

This software manages the library work efficiently.

Library Management software for managing library for Daily Operations of Library

A library manager for c/c++ to make getting libraries working as fast and as easy as possible

Customer-facing Raspberry Pi kiosk to scan a library book and display reviews.

Tool provides a graphical user interface (GUI) for managing Python libraries, virtual environments, and project files. This tool integrates SQLite for library management and supports tasks such as creating virtual environments, managing files, installing libraries, and interacting with Django projects. It aims to streamline the development setup.

Django Library System Application

CLI application for reading and creating FLIM libraries. The standard library will be updated all the time. The original library can serve as a repository of data about files by name, this provides quick access to the files you need.

A university project in which a library management system is designed using PyQT5 and has user and admin parts

A Library Management system made with Django

m3u-comparer is a Python script for analyzing and comparing m3u/m3u8 playlists or audio file directories, spotlighting metadata differences while ignoring file paths. It evaluates metadata like artist, title, album, length, and bitrate to identify disparities and find potential duplicates, streamlining playlist comparison and organization.

My first Python-based desktop program/project that uses random variables from the ASCII list and returns a powerful and usable password with characters, numbers, uppercase and lowercase.