HAVOC-Server
Overview
This project is a monitoring system for the Healthcare Assistant with Video, Olfaction, and Conversation (HAVOC) program running on the Temi robot. It uses computer vision and machine learning to detect falls, classify smells, and generate daily reports. It provides real-time metrics and visualizations through a web interface, making it ideal for applications in healthcare, safety monitoring, or robotics research.
plaintext TEMI_EMAIL_SENDER=your-email@gmail.com TEMI_EMAIL_PASSWORD=your-app-specific-password TEMI_EMAIL_RECIPIENTS=recipient1@example.com,recipient2@example.com TEMI_REPORT_TIME=20:00
Open your web browser and navigate to http://localhost:8133 to access the web interface.
The web interface (index.html) provides several interactive sections:
The system is composed of several key modules:
From the project’s README on GitHub.
At a glance
| Repository | Kentucky-Open-Science/HAVOC-Server |
|---|---|
| Research area | Robotics, drones & sensing |
| Primary language | Python |
| Languages | Python 74.1%, HTML 25.9% |
| License | Apache-2.0 |
| Stars / forks | 0 / 0 |
| Open issues and pull requests | 2 |
| Created | 2025-02-27 |
| Last push | 2025-12-08 |
| Default branch | main |
| Topics | sensors |
What the README covers
Top contributors
- @BernardZach (163 commits)
- @EvanDamron (41 commits)
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Get the code
git clone https://github.com/Kentucky-Open-Science/HAVOC-Server.git