Project Description
Hydrosense is an IoT-based water distribution system designed to ensure clean and safe drinking water. It utilizes a Vega Aries IoT V2.0 microcontroller to collect real-time data from various sensors, including preesure, pH, turbidity, TDS, and temperature. The data is then displayed on a user-friendly dashboard, allowing users to monitor water quality and distribution effectively.
Tech Stack Skills
Technologies used in the development of the project.
HTML
CSS
JavaScript
Arduino
Firebase
Vercel
GitHub
Screenshot Project
Details
Name: HydroSense
Status: Completed
Year: Jan 2025
Preview
Hardware Components
We use Vega Aries IoT v2.o as the microcontroller and with it we have connected turbidity and pH sensor. This is used to collect both the parameters from the water and show it in a dashboard
Hydrosense Product
This is the final product of HydroSense. It is a IoT based water distribution system which is used to monitor the water quality and distribution. It has several inbuilt sensors which are used to collect the data from the water and show it in a dashboard.
Dashboard
The dashboard is built using HTML, CSS and JavaScript. It shows the real-time data of the water quality parameters such as pH and turbidity. It also shows the historical data of the water quality parameters.
Chart View
The chart view is built using Chart.js. It shows the real-time data of the water quality parameters such as pH and turbidity. It also shows the historical data of the water quality parameters.
Water Distribution
This module helps monitor the balance between expected (theoretical) water pressure and actual pressure detected by sensors in a water distribution system. It is designed to detect distribution issues, calibrate sensor readings, and maintain optimal flow conditions
Hardware Status
The Vega Aries IoT V2.0 Has several inbuilt sensors which show and monitiors the performace of the Board. In this module we sho w the real-time value of those inbuilt sensors for reference.
Talk with AI
The Artificial Intelligence section of HydroSense allows users to interact directly with the water quality dataset using natural language. It is your personal water scientist—just ask a question and get immediate insights. This feature is powered by AI and trained on real-time sensor data and historic trends.
Backup Data
The Cloud Backups module allows you to safely store water quality data in the cloud and retrieve it whenever needed. This ensures that your local storage stays clean and optimized, while your historical data remains secure and easily accessible
Reports
The Reports page provides access to downloadable data insights from HydroSense, helping users analyze water quality trends, compliance, and system health over time. You can export all data or specific reports based on your needs.
Profile
The Profile section is your personal space on HydroSense. It allows you to manage your account, update credentials, and secure your data with additional layers of protection.
Settings
The settings module allows you to setup your Hardware Device and run a simulation mode for test purposes. You can also clear your data and cookies from this module.
Project Board Trello
The Trello Board is integrated into this project section to provide a transparent view of the project's status and progress. If you have any suggestions or features you'd like to see added, please feel free to suggest for Trello board using the button below.
Note: The Trello board is updated occasionally and may not reflect the current status of the project.
Video Project
Contributers Project
Saravanakumar
Student, VEC