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A future prototype combining Deep Learning and IoT technologies that will hold immense potential to revolutionize our daily lives.

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KinderNeutron Release v2.0 [Stable] [Production Run]

Project Status: On Production Docker Image CI

⚠️Main Branch is On Production
Welcome to the KinderNeutron Capstone API repository! This API serves as the backend logic for the KinderNeutron project, a culmination of our academic efforts for our FYP

Overview

The KinderNeutron project aims to revolutionize home automation and security by integrating deep learning, IoT devices, and web/mobile applications. The API acts as the bridge between the user-facing applications (web/mobile) and the IoT devices, enabling functionalities such as person detection, light control, and activity logging.

Features

  • Person detection using cv techniques.
  • Control IoT devices (e.g., lights, cameras) based on detection events.
  • Log activities and events for monitoring and analysis.
  • Secure authentication and authorization mechanisms.

Getting Started