SShortSingh.
Back to feed

How to Customize the Linux Mint Login Screen Using the Login Window Tool

0
·3 views

Linux Mint includes a built-in utility called Login Window that allows users to personalize the system's login screen. The tool offers options to change the wallpaper, GTK theme, icon theme, mouse pointer, and other visual elements across three tabs: Appearance, Users, and Settings. Users can set a custom wallpaper from their home directory or create a dedicated folder within the system-wide backgrounds path at /usr/share/backgrounds using terminal commands with administrator privileges. GTK themes control the visual style of the login interface, including buttons and text fields, though desktop-installed themes do not automatically appear in the Login Window selector. The login screen and desktop environments are treated separately in Linux Mint, so customizations must be applied independently for each.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Developer Builds Agentic Fraud Investigator Powered by TigerGraph Graph Database

A developer has built an agentic fraud investigation tool using TigerGraph, a graph database platform, as part of the HHGOA2026 hackathon. The tool is designed to mimic how a human analyst investigates fraud by leveraging relational data connections. The project is built on the premise that fraud is inherently relational, making graph databases a natural fit for detecting it. The application is deployed via Streamlit and the source code has been made publicly available on GitHub.

0
ProgrammingDEV Community ·

FraudGraph AI Uses TigerGraph and GraphRAG to Build Explainable Fraud Investigations

A team built FraudGraph AI, an agentic fraud investigation platform, as part of a recent hackathon project. The system moves beyond single transaction scoring by mapping relationships across customers, cards, merchants, and historical cases using TigerGraph as its graph investigation layer. GraphRAG supplies structured graph context to a downstream reasoning pipeline, enabling the system to trace connected entities and identify non-obvious fraud patterns. A dedicated Risk and Uncertainty Engine separately evaluates fraud probability, confidence, and uncertainty to avoid premature or irreversible decisions. The platform also includes a Next Best Action Engine that produces deterministic, policy-aligned recommendations such as monitoring, blocking, or requesting verification.

0
ProgrammingDEV Community ·

Google Lens Tops 25 Billion Monthly Searches, With 20% Tied to Shopping

Google Lens has surpassed 25 billion queries per month, up from nearly 20 billion reported in October 2024, according to Google's Think with Google search trends briefing. Approximately one in five of those searches carries commercial intent, signaling that visual search is increasingly relevant to product discovery and retail. The platform allows users to search using images rather than typed keywords, making it especially useful for visually distinctive or hard-to-name products. Google's broader Search strategy has been moving toward multimodal experiences that combine visual input with text and product data. The growth in Lens usage suggests businesses should ensure their product images, descriptions, and structured data are consistent and accurately represent what is being offered.

0
ProgrammingDEV Community ·

Developer Open Sources Repairo, a Free Automated API Auto-Repair Tool

A developer has released Repairo, a free open-source tool designed to automatically detect and fix API issues before they cause failures in production systems. The tool addresses common pain points in microservices architectures, where minor changes in data contracts can lead to unhandled exceptions and failed requests. Repairo works by intercepting failing requests, analyzing schema mismatches, and applying safe corrections in real time without requiring manual deployments. It is built to integrate with existing API gateways and middleware pipelines, and supports automated schema healing for payload discrepancies. The project is publicly available on GitHub, and the developer is welcoming contributions, feature requests, and community feedback.