AI-Powered Image Analysis and Audio Transcription with Groq

This project leverages Groq's API and LLAMA 3.2 to provide lightning-fast, cost-effective AI solutions for image analysis and audio transcription.

Key Features

1. AI Image Analysis

   • Upload any image and receive instant AI-powered insights
   • Enhance your workflow with cutting-edge image analysis

2. Audio Transcription

   • Upload audio files for quick and accurate transcription
   • Powered by advanced language models for high-quality results

Technology Stack

• AI Backend: Groq API
• Language Model: LLAMA 3.2
• Frontend: Next.js with React

Why Choose This Tool?

• Super Fast: Utilizes Groq's high-performance API for rapid results
• Cost-Effective: LLAMA 3.2 provides state-of-the-art performance at a fraction of the cost
• Versatile: Handles both image analysis and audio transcription in one application

Getting Started

Prerequisites

• Node.js (v14 or later)
• pnpm
• A Groq API key

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/ai-image-audio-analyzer.git
   cd ai-image-audio-analyzer

2. Install dependencies:

   pnpm install

3. Copy the .env.example file to .env.local and fill in your API keys:

   cp .env.example .env.local

4. Edit .env.local and add your Groq API key and other necessary credentials.

Running the Application

1. Start the development server:

   pnpm dev

2. Open http://localhost:3000 in your browser.

Environment Variables

• GROQ_API_KEY: Your Groq API key
• GROQ_BASE_URL: Groq API base URL (default: https://api.groq.com/openai/v1)
• MODEL_VISION: The vision model to use (default: "llama-3.2-11b-vision-preview")
• NEXT_PUBLIC_VOICE_FAST_MODEL: The fast voice model (default: "llama-3.2-3b-preview")
• NEXT_PUBLIC_SERVER_URL: Your server URL (default: "http://localhost:3000")

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.