Welcome to the AI Toolkit API Documentation page! Below you will find detailed information about the available APIs and how to use them effectively.

Overview

The AI Toolkit provides a suite of APIs designed to integrate artificial intelligence capabilities into your applications. Whether you need image recognition, natural language processing, or predictive analytics, our APIs have you covered.

Available APIs

  • Image Recognition: Analyze and classify images using advanced machine learning algorithms.
  • Natural Language Processing (NLP): Extract insights from text data, including sentiment analysis, entity recognition, and language translation.
  • Predictive Analytics: Make data-driven predictions using historical data and machine learning models.

Quick Start Guide

To get started with the AI Toolkit, follow these steps:

  1. Sign up for an account to obtain your API keys.
  2. Review the API Reference for detailed information on each API endpoint.
  3. Try our API sandbox to test out the APIs and see their capabilities in action.

Image Recognition API

The Image Recognition API allows you to analyze and classify images. Here's how you can use it:

  • Upload an Image: Submit an image to the API endpoint.
  • Receive Analysis: Get back a detailed analysis of the image, including labels and confidence scores.

Example

Here's an example of how an image might be analyzed:

  • Image:
    cat
  • Analysis: The image contains a cat with 95% confidence.

Natural Language Processing API

The NLP API provides powerful tools for analyzing text data. You can:

  • Analyze Sentiment: Determine the sentiment of a piece of text (positive, negative, neutral).
  • Extract Entities: Identify and classify named entities in text (e.g., people, places, organizations).
  • Translate Text: Translate text from one language to another.

Example

Suppose you want to analyze the sentiment of a customer review:

  • Text: "I absolutely love this product! It's the best I've ever used."
  • Sentiment Analysis: Positive sentiment with 99% confidence.

Predictive Analytics API

The Predictive Analytics API allows you to make predictions based on historical data. You can:

  • Train a Model: Use your data to train a custom machine learning model.
  • Make Predictions: Use the trained model to make predictions on new data.

Example

Imagine you want to predict sales for the next quarter:

  • Historical Data: Sales data for the past 12 months.
  • Predicted Sales: Based on the trained model, the predicted sales for the next quarter are $10,000.

Additional Resources

For more information, check out the following resources:

If you have any questions or need further assistance, please contact our support team at support@aitoolkit.com.

Happy coding! 🚀