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Description:
Vilvona AI — an open-source personal AI assistant that runs on your own machine, published on npm (npx vilvona). Connects to WhatsApp, Telegram, Gmail, Slack and 100+ apps, powered by Claude, with full Tamil & Hindi support — all without sending your data to a cloud service. Node.js · AI · privacy-first.
Title: Vilvona AI — Private AI Assistant (npm package)
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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🤖 I build things with AI. A lot of things.
Some ship, some break, most teach me something. Right now that includes D.O.N.N.A — a local, voice-activated personal assistant I'm building from scratch. Wake word, live system monitoring, the whole JARVIS-style interface.
It's one of several projects I keep going on the side — automation pipelines, AI agents, tools that started as "let's see if this works" and turned into actual builds.
I'm not doing this for a portfolio. I do it because figuring out how these systems actually work, past the demo-video version, is genuinely the most interesting problem I know. 🛠️
If you're building with AI too, I'd like to see what you're making. 👀
New VAs on Contra: Stop sending proposals that get ignored 😭
I put everything I learned into a kit:
5 DM scripts + outreach checklist + templates
$15 - Instant download
https://selar.com/974282s979
Who needs this?
Title: AI Resume Analyzer | MERN & AWS Smart Resume Evaluation Platform
Technologies Used: React.js, Node.js, Express.js, MongoDB, AWS S3, REST API, JWT Authentication, Responsive Web Design, AI Integration
About:
Designed and developed AI Resume Analyzer, a full-stack MERN and AWS-powered web application created to help users improve ATS compatibility, resume quality, and job readiness through intelligent AI-driven analysis. The platform supports secure resume uploads, user authentication, real-time resume evaluation, structured skill extraction, keyword analysis, and responsive dashboard interfaces for a seamless user experience across desktop and mobile devices. Built using React.js, Node.js, Express.js, MongoDB, AWS S3, and REST APIs, the project demonstrates expertise in full-stack development, AI integration, cloud deployment, authentication systems, scalable application architecture, and building production-ready web solutions with modern UI/UX principles.
