Project Info
HydroSense Smart Showerhead
HydroSense is a revolutionary smart showerhead designed to address the significant water wastage associated with traditional showering. With an innovative blend of cutting-edge technology and user-friendly features, HydroSense aims to transform your showering experience while contributing to water conservation efforts.
Elevator Pitch
Did you know that the average American uses enough water to fill over eight Olympic-sized swimming pools every year while showering? HydroSense is here to change that. Our super-smart showerhead leverages advanced technology to optimize water usage without compromising on the showering experience. Say goodbye to unnecessary water wastage and hello to a greener, more sustainable lifestyle.
Team
- Shinika Balasundar
- Jordan Nguyen
- Brian Chiang
- Novel Alam
Features
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Smart Water Usage: HydroSense intelligently monitors and adjusts water flow based on real-time conditions, ensuring you get the perfect shower while minimizing water consumption.
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IoT Integration: Connect HydroSense to your smart home ecosystem. Control and monitor your shower remotely using your preferred IoT platform.
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Weather-Informed Showers: Thanks to integration with Weather-API, HydroSense adapts to weather conditions, optimizing water usage accordingly.
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User-Friendly Interface: Our intuitive Streamlit-based interface allows users to easily customize shower preferences and track water usage patterns.
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Energy-Efficient Heating: HydroSense works seamlessly with your water heater to monitor energy-efficient heating, contributing to both water and energy conservation.
Technologies Used
- Microcontroller
- IoT (Internet of Things)
- Streamlit
- XAMPP
- MySQL
- Python
- C
- Arduino IDE
- GPT-API
- Weather-API
- PHP
- Apache
Installation
- Clone the HydroSense repository.
git clone https://github.com/hydrosense/smart-showerhead.git
Analysis
View
Metric
- 6
Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.
Technology
- PHPIn code
- PythonIn code
- CClaimed
- StreamlitClaimed
2 of 4 appear in the indexed code. 2 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.
AI coding agents
No AI coding agent signals were found in this repository.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
Source size
20 KB
Source files
7
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
shibcreate/HydroSense
11 files · 326 KB · @ f925ff6
Structure
Interface
4 files · 36%Screens, components and styles rendered to the user.
Application logic
5 files · 45%Domain rules, services and shared utilities.
Supporting
Layers are inferred from where files sit in the tree, not from reading the code. A project that names its directories unconventionally will read oddly here — open the file browser to check anything the diagram implies.
Languages
- Python86%
- Markdown10%
- PHP5%
Share of indexed source by file size. Binary and vendored files are excluded.
Dependencies
requirements.txt
pypi · 1- mysql-connector-python
Declared in the repository’s manifests at the indexed commit. A declared package is not proof it is used, and runtime dependencies are listed first.
This project’s features have not been analysed yet.
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