👻 Ghost in the Code: A Local AI Code Exorcist

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

I built Ghost in the Code, a small local AI tool that gives old, confusing, or problematic code a spooky explanation.

You paste a piece of code and summon the Ghost. It analyzes the code and responds with:

I interpreted the Ghost in the Machine theme by imagining that old and confusing code can feel like a ghost that continues to haunt a project.

Here is a short video showing the application running locally and analyzing a piece of code:

The complete source code is available on GitHub:

https://github.com/SachinNarayanasamy/ghost-in-the-code

The application runs Gemma 3 1B locally through Ollama.

When code is submitted, the application sends it to the local Ollama instance with a prompt that asks Gemma to analyze the code using the four Ghost sections.

The AI processing happens locally on my machine instead of using a hosted AI API.

For a tool that analyzes source code, keeping the data local can be important.

Using an open-weight model locally means I can experiment with AI without sending code to an external hosted API.

It also gives me the freedom to change the model, improve the prompt, and modify the application as the project evolves without being tightly locked to a single closed AI service.

You may not know who wrote it, why it exists, or why changing one line suddenly breaks something somewhere else.

So I decided to make that feeling part of the experience — instead of fighting the ghost, let the ghost explain itself. 👻