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Integrating and using AI models in your applications

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KarthikrajS/ai-boilerplate

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AI Boilerplate

This repository provides a modular foundation for integrating and using AI models in your applications. You can easily plug in different AI models, switch between them, and interact with them via standardized API routes.

Features:

  • Support for multiple AI models (e.g., GPT, Create routes to interact with AI services in your RecommendationService.js and TaskOptimizationService.js).
  • Configurable via environment variables.
  • JWT-based authentication for secure access to AI endpoints.
  • Data preprocessing and model interaction are abstracted into reusable services.

Getting Started

  1. Clone the Repository
npx degit KarthikrajS/ai-boilerplate my-ai
cd my-ai
  1. Install dependencies:
npm install
  1. Set up environment variables in the .env file.
  2. Start the server:
npm start

Usage:

  • Make POST requests to /api/ai/optimizeTasks or other available routes to interact with the models.

Extending:

  • Add new AI models by creating a new file in the models/ directory and updating ModelService.js.
  • Add new API routes as needed in routes/aiRoutes.js.

Contributing

Feel free to fork this repository and make your contributions. Open a pull request to submit changes.

License

This project is licensed under the MIT License.

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