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Local AI Assistant
A local voice and vision AI experiment built around open-source models and automation.
Student · Builder · Tinkerer. I build software, experiment with AI, explore systems, and turn ideas into things that actually work.

I'm a Computer Science & Engineering student specializing in Artificial Intelligence & Machine Learning at Khwaja Moinuddin Chishti Language University, Lucknow. I'm curious about what happens beneath the screen—how software works, how systems communicate, and how AI can become something practical.
I learn by experimenting: building, breaking, debugging, and rebuilding until I understand the thing better.
A browser-safe terminal simulation—type commands and explore the public side of my lab.
Ollama, open-source models, voice and vision experiments.
Linux, Docker, CasaOS, Tailscale, self-hosting and networking.
Python today, Go experiments tomorrow—APIs, automation and services.
Web, WooCommerce, Shopify and practical online-business systems.
A local voice and vision AI experiment built around open-source models and automation.
A hands-on infrastructure playground for services, containers, remote access and networking.
Exploring the intersection of technology, products, automation and online business.
Long-form notes about what I build, what breaks, what I learn, and what I discover.
Building a strong foundation in computer science while going beyond coursework through hands-on experiments.
Moving from development into Linux, servers, networking, automation and self-hosting.
Combining local AI, open-source models and systems thinking into practical projects.
Keep learning. Keep building. Turn more ideas into real products and useful systems.
Regular home strength training and a practical approach to staying active.
Quality time away from screens, including time with my white Labrador Retriever.
I enjoy going down technical rabbit holes simply because I want to understand them.
Learning is a continuous process—especially when you build instead of only watching.
A snapshot of the technical rabbit holes and ideas currently getting my attention.
Click a letter to reveal the trait behind it.
Long-form build logs that turn experiments into reusable lessons.
Why local models, voice and vision are interesting—and what changed once the AI stack moved onto my own machine.
Notes from exploring Linux, Docker, CasaOS and Tailscale while learning to think about the whole system.
I don't believe in waiting until I know everything. I learn by trying, failing, fixing and building again.
Have an idea, want to collaborate, or simply want to say hello?