Water Purity Detection App Using Machine Learning
Our daily necessities is now fulfilling through technology. We are getting help from minimum to extreme level through computing. The real world problems is now discussed through computer. Now a days, everyone wants to drink clean and
Project Title
Water Purity Detection App Using Machine Learning
Project Area of Specialization
Project Summary
Our daily necessities is now fulfilling through technology. We are getting help from minimum to extreme level through computing. The real world problems is now discussed through computer. Now a days, everyone wants to drink clean and pure water. But the problem arise that purity of water can’t be tested immediately. There is proposed solution to hit this problem. We are interested to develop a mobile app in this regard. The app will use different deep learning algorithm to test the water. The user is intended to open the digital camera from respective product. The water must be in a transparent glass or bottle to fulfil the testing process. Our app will demonstrates user that water contained in bottle or glass is drinkable or not. For example, we have some water in a glass. Person A mixed some drops(ear/eye) in glass and leaves the glass on the table for later use. After sometime, Person B comes at that place and sees the water glass and wants to drink it. But before drinking water he wanted to be sure that the water is pure. In order to do that Person B can use our product to test the quality of water.
Project Objectives
- Check Purification of Water. (Main Objective)
- Make a laboratory less water purification process.
- Reduce water purification process time.
- Short time efficient result.
Project Implementation Method
The project will be implemeted using the modern machine learning techniques. We will use the the dataset of images of water and then we will apply the machine learning techniques to draw the output of the dataset. The model trained as a result of the above process will then be scaled for industry purpose..
Benefits of the Project
The project has many benefits in the real life. It will be used to test the quality of water. It will make the water purification process easy. Water can be tested easily without going to laboratory.
Technical Details of Final Deliverable
Technical Deliverable product will be a react native app with backend node js. The database will be firebase. The app will use the trained machine learning model depolyed on microsoft azure services.
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Bacterial Test Kits | Equipment | 5 | 1000 | 5000 |
| Colorimeters | Equipment | 1 | 5000 | 5000 |
| Titrimetric test kits | Equipment | 1 | 15000 | 15000 |
| Turbidimeters | Equipment | 1 | 20000 | 20000 |
| Colorimetric test kits | Equipment | 1 | 15000 | 15000 |
| Arsenic Testing Kit | Equipment | 1 | 10000 | 10000 |
| Laboratory Test | Miscellaneous | 50 | 200 | 10000 |
| Total in (Rs) | 80000 |
If you need this project, please contact me on contact@adikhanofficial.com
Object Detection and Characterization of Traffic Live Video Stream usi...
Video has become a mainstream media source on the web, and live video streaming is growing...
IoT based Smart Autonomous Robot for disinfection applications
During the Covid-19 pandemic, it has been found that remote disinfection in hospitals and...
Solar and IOT based water purifier
Water is vital resource for life. Drinking safe water is important aspect for a healthy li...
Skin Cancer Detection using Deep Learning and Machine Learning
As the time has passed we have observed that the cases of cancer are increasing day by day...
IOT based Smart & Portable Wheet Floor Mill
style="display:inline;">I affirm that all information submitted through this FYP applicati...