An improved water quality monitoring IoT based system with bacterial prediction
Water is a world resource that is a gift of nature and important to farming, manufacturing, and the life of human beings on earth. Surveys conduct in recent shows that the most of unwanted diseases comes from drinking unhealthy or contaminated water. The diseases such as cholera, typho
2025-06-28 16:25:05 - Adil Khan
An improved water quality monitoring IoT based system with bacterial prediction
Project Area of Specialization Internet of ThingsProject SummaryWater is a world resource that is a gift of nature and important to farming, manufacturing, and the life of human beings on earth.
Surveys conduct in recent shows that the most of unwanted diseases comes from drinking unhealthy or contaminated water.
The diseases such as cholera, typhoid, dysentery, hepatitis, giardiasis, and cryptosporidiosis.
So the device sense the impurity, contamination, and predict bacteria also few other factors of water and display weather the water is drinkable or not.
Project Objectives•To review the existing literature and analysis of water quality detection devices.
•Build a portable prototype for the water quality detection.
•Detect the impurities and predict bacteria from drinking water.
Project Implementation MethodThe project is consists of six different sensors to check the parameters of water, which are interface with microcontroller to process the readings from sensor and diplay on screen also it uploads the results on cloud to have as previous records of results by blynke cloud app and this device is powred by a rechargable bettry.

•Portable device for every human being.
•Prevention from many harmful diseases.
•Effortless testing of water for dinking, study and research purpose.
•Portable device which will become part of every home, laboratories and water filtration plant.
Technical Details of Final Deliverableworkinig process of device
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 62000 | |||
| Raspberry pi | Equipment | 2 | 15000 | 30000 |
| Turbidity sensor | Equipment | 1 | 5000 | 5000 |
| Temperature sensor | Equipment | 1 | 1000 | 1000 |
| Humidity sensor | Equipment | 1 | 2000 | 2000 |
| Ph sensor | Equipment | 1 | 3000 | 3000 |
| Conductivity sensor | Equipment | 1 | 3000 | 3000 |
| CO2 sensor | Equipment | 1 | 5000 | 5000 |
| LCD display | Equipment | 2 | 1500 | 3000 |
| Power supply/bettry | Equipment | 2 | 1000 | 2000 |
| soldering iron and wires | Miscellaneous | 1 | 2000 | 2000 |
| Transport/fuel/others | Miscellaneous | 1 | 5000 | 5000 |
| switch | Equipment | 2 | 500 | 1000 |