Building Vision Assistant: A Custom Desktop AI Tool Built with Electron

A developer built Vision Assistant v1.0.0, a standalone Windows desktop AI vision tool created from scratch with Electron and JavaScript. The app offers a global Ctrl+Shift+Space shortcut, multi-screen capture, real-time chat and vision analysis, and memory persistence across sessions, and is packaged with electron-builder for distribution via GitHub releases.

This is a submission for the MLH x DEV Writing Challenge https://dev.to/mlh-hackathon I built Vision Assistant v1.0.0 , a custom desktop AI vision tool created from scratch using Electron. Ctrl + Shift + Space , multi-screen capture capabilities, real-time chat & vision analysis, and memory persistence across sessions. electron-builder . You can check out the setup guide video and walkthrough here: Vision Assistant Setup Guide Video https://drive.google.com/drive/folders/1Kci00sPzQalZA78Urge4v8mkXLHp4dbR?usp=sharing You can also download the latest Windows standalone release package directly from the GitHub repository: GitHub Repository & Releases https://github.com/chhavigupta783/vission-assisstant-v1 release link for windows user < https://github.com/chhavigupta783/vission-assisstant-v1/releases/download/v1.0.0/Vision.Assistant-1.0.0-win.zip For this project, I focused heavily on core web and desktop ecosystems using JavaScript 69% and HTML 31% , powered by Electron to bundle a seamless standalone Windows application with a dark/purple customized UI theme optimized for desktop environments. Building Vision Assistant for this challenge was an incredible journey of pushing desktop development boundaries. Bringing an idea from local scripts to a fully packaged, global shortcut-enabled desktop application made it a deeply rewarding learning experience