drinking-water-treatment

A hardware based project to analyse the quality of water and classify it as fit or unfit for drinking

Problems Addressed:

• Globally, at least 2 billion people use a drinking water source contaminated with faeces.
  

• Contaminated water can transmit diseases such diarrhoea, cholera, dysentery, typhoid, and polio.
  

• Contaminated drinking water is estimated to cause 485 000 diarrhoeal deaths each year.
  

• By 2025, half of the world’s population will be living in water-stressed areas.
  

Overview:

The project is based on the data science that estimate the drinking water parameter data collected from particular area according to IS 10500 : 2012 (Drinking Water Specification). The result that get from estimation will use to categorize the particular zone Red, Yellow and Green.

• Green Zone :- Safe zone
  
• Yellow Zone :- warning
  
• Red Zone :- Alarming Situation.
  

Goals:

• To aware people to use conventional methods of treatment of drinking water.
  

• As the conventional methods of treatment of water are not so effective. Therefor developing sensors based cost effective methods.
  

• Raising awareness towards controlling water pollution.
  

Tech Stacks Required:

• ML
• iot
• Raspberry pi
• Android
• Web

Roadmap Overview:

• First time interval -2 months – Collecting data of particular area.

• Second time interval -3 months- Estimation of data sets.

Approximate count of contributors required: 15-20