👻 Ghost in Your Computer — PhantomOS

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine

What I Built

I built Ghost in Your Computer — PhantomOS, an interactive desktop experience featuring Bytegeist, a mischievous AI ghost who lives inside a fictional operating system.

What if your computer had a ghost with its own personality?

Instead of creating another ordinary chatbot, I wanted to make the experience feel like interacting with a digital creature. Bytegeist can chat, react, change moods, create unexpected digital incidents, and even take temporary possession of the interface!

Users can explore four different moods: Playful, Mischievous, Dramatic, and Slightly Spooky.

Some key features:

• 👻 Interactive AI ghost with a unique personality
• 💬 AI-powered conversation with session memory
• 🎭 Four personality moods
• ⚡ Random digital incidents
• 🖥️ Possession Mode with CRT effects and screen animations
• 🔊 Optional sound effects
• 📊 Live personality telemetry
• 🛡️ Safe simulated desktop experience — no access to real system files or commands

I interpreted the theme as bringing a little supernatural personality into everyday technology — funny, unpredictable, and just a little spooky!

Demo

🌐 Live App: https://ghost-in-your-computer.onrender.com

🎥 Video Demo: https://youtu.be/ch6dU9f2LrM

Code

💻 GitHub Repository: https://github.com/kusumaranikusumarani3232-hub/Ghost-in-Your-Computer

How I Built It

I built PhantomOS using React, Vite, and FastAPI.

For the AI core, I used Meta Llama 3.1 8B Instruct, an open-weight model, through Backboard.

The model powers Bytegeist's conversations and personality-driven responses. Backboard provides the hosted inference connection, while the application handles the interface, mood system, digital incidents, and interactive effects.

The project also includes a clearly labeled Demo Mode as a fallback when live AI is unavailable.

Technology Stack:

• Frontend: React 19, Vite, CSS
• Backend: Python, FastAPI
• AI Model: Meta Llama 3.1 8B Instruct
• AI Integration: Backboard
• Deployment: Render

Why Does Open Innovation Matter?

Open innovation gives developers the freedom to experiment, build, and create experiences beyond traditional AI chat interfaces.

Using an open-weight model like Llama 3.1 allowed me to build Bytegeist around a model whose underlying weights are openly available, rather than depending entirely on a closed proprietary model.

It also gives developers more flexibility to explore different inference providers and deployment approaches as their projects grow.

For me, open innovation makes experimentation more accessible and gives independent developers the opportunity to build creative AI experiences.

The Spirit of It

This project started with a simple question:

What if your computer wasn't haunted by bugs, but by a ghost with an attitude? 👻

I wanted to make something that would make people smile, surprise them, and give them a different experience from a typical AI chatbot.

Meet Bytegeist — your computer isn't broken. It's just haunted!

Thanks to Hacktoberfest and the open-source AI community for inspiring this experiment.