NeuralinkX

AI-powered API testing tool with predictive error detection. Leverages machine learning to identify and flag potential issues before deployment.

Key Features

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Predictive Analysis

Uses machine learning to predict and detect potential API errors before they occur.

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Real-Time Testing

Execute API test scenarios in real-time with instant feedback and performance metrics.

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Auto-Scaling

Cloud-deployable testing pipelines that scale with your workload requirements.

Technical Architecture

Core Components

  • Machine Learning Model
  • REST API Integration
  • Real-Time Dashboard

Requirements

Python 3.8+
TensorFlow 2.9+
FastAPI 0.65.2+
MongoDB 6.0+

Installation

pip install git+https://github.com/eleneb/neuralinkx.git

How to Contribute

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Explore the Code

Start by browsing our GitHub repository to understand the project's structure and existing features.

GitHub Repository
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Create a Fork

Clone the project locally and create a new branch for your changes.

Fork Project
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Submit a PR

We'll review your changes and merge them if they meet our quality standards.

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