This is a Next.js project bootstrapped with create-next-app.

🚀 Inventory LLM

A sleek web app combining:

• Inventory Management
  Keep track of your items across locations in real time.
• AI Chatbot Interface
  Ask to read or modify your inventory via natural language—behind the scenes it generates the right API calls.

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📸 Demo

Example: a basic food inventory on the left, with our chatbot on the right reading your fridge contents and crafting API‑call blocks.

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📦 Available API Calls

Your assistant can use the following operations to update the inventory:

• create(name, amt, loc)
  Create a new item called name with quantity amt at location loc.
• delete(item)
  Remove an existing inventory item.
• move(item, fromLoc, toLoc)
  Move an item from one location to another.
• set(item, amt)
  Override an item’s quantity to amt.
• change(item, delta)
  Increase or decrease an item’s quantity by delta.

Whenever the bot proposes changes, it will:

1. Summarize the intended adjustments for the user.
2. List each API call in { … } notation, parsed into a block by our UI.
3. Ask you to confirm before applying them by pressing check.

💻 Getting Started

Hackathon Information: GPT Wrapper Hackathon on sprint.dev, sponsored by Nebius AI Studio

Create a .env.local file in the root dir and place your nebius key:

NEBIUS_API_KEY=your_key_here

Download the required packages

npm install

Run the development server

npm run dev

Open http://localhost:3000 with your browser to test the project.