This repository contains the source code for the "Makers Tech AI Inventory Assistant," a proof-of-concept chatbot designed to provide real-time, natural language answers to customer queries about product inventory.

This project was built to demonstrate how a modern AI-powered solution can enhance customer experience and provide instant, accurate information, directly driven by the company's live inventory database. Here is the 5-minute video demo showcasing this application.

• Real-Time Inventory Awareness: The chatbot connects directly to a Supabase PostgreSQL database, ensuring all its answers are based on the latest stock levels, prices, and product details.
• Natural Language Understanding: Users can ask questions in a conversational way (e.g., "How many HPs do you have?" or "Tell me more about the Dell laptop").
• Lightning-Fast Responses: Powered by the Groq LPU Inference Engine, the AI provides answers with exceptionally low latency for a smooth user experience.
• Clean, Modern Interface: The user interface is built with Next.js and Tailwind CSS, providing a responsive and intuitive chat experience.

• Framework: Next.js (React)
• Database: Supabase (PostgreSQL)
• AI/LLM: Groq API with Llama 3
• Styling: Tailwind CSS
• UI Components: shadcn/ui

To run this project locally, please follow these steps:

• Node.js (v18 or later)
• npm or yarn

git clone https://github.com/YOUR_USERNAME/makers-tech-chatbot.git
cd makers-tech-chatbot

npm install

This project requires API keys for Supabase and Groq.

1. Create a new file in the root of the project named .env.local.

2. Copy the contents of .env.example (or the block below) into it:

   # Supabase Project URL and Public Anon Key
   # Found in your Supabase Project Settings > API
   NEXT_PUBLIC_SUPABASE_URL=YOUR_SUPABASE_URL
   NEXT_PUBLIC_SUPABASE_ANON_KEY=YOUR_SUPABASE_ANON_KEY
   
   # Groq API Key
   # Found in your Groq Console > API Keys
   GROQ_API_KEY=YOUR_GROQ_API_KEY
   

3. Replace the placeholder values with your actual keys.

npm run dev

The application will be available at http://localhost:3000.