Vision Assistant v2.0
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Vision Assistant v2.0 — Asynchronous Screen Intelligence & Background AI Pipeline What I Built Vision Assistant v2.0 is an open-source desktop utility that transforms instant system-wide screen captures into deep, asynchronous AI reasoning pipelines. Instead of locking up your workflow while waiting for…
Vision Assistant v2.0 is an open-source desktop utility that captures system-wide screen captures and transforms them into asynchronous AI reasoning pipelines. Developed by Chhavi Gupta, the tool allows developers, agency operators, and researchers to analyze complex UI screens, dashboards, or documentation without wasting time on manual copying or waiting for live API responses.
The tool uses an Electron & C++/Python desktop system layer, integrated with n8n webhooks and background worker queues, to process heavy multi-modal tasks asynchronously without UI lag. Powered by open-weight vision models and AI agent frameworks, Vision Assistant v2.0 provides multi-agent context analysis, multi-step AI agent workflows, and structured reports directly to the user's workspace.
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