This research project was undertaken to develop a scalable technology-driven system for smart houses that can detect, predict and report water quality, leakage & clogging issues.

By predicting leakages issues in advance, the system has the potential to avoid seepage and mold problems which cause serious health risks.

The system leverages sensors, IoT, and AI technology. It collects and analyses the data from the sensors, and generates alarms in real-time if any water-related issues are indicated. Alarms can be reported via SMS or displayed on a dashboard. Water Security Index is calculated to assess the safety of the water supply within the premises in real time. 

The system can be scaled up for larger areas such as buildings, residential societies, and cities using LoRa network technology.

The overall purpose of the investigation is to find the most suitable way to generate electrical energy and to propose the best design of the piezoelectric water treatment system (PWTS). Piezoelectric effect converts mechanical stress into electrical energy by the generation of electric charge and hence a voltage. We reached a conclusion that piezoelectricity will have the most efficient power generation when the source of power is from water droplets. We found that this is extremely beneficial as droplet formation is governed by physics which results in controllability and reliability of energy production. Droplets can also be used at various scales and locations. 

The problem of river water pollution is becoming increasingly alarming due to the increase in use of resources such as heavy metals and oil.

The aim of this project is to determine the most effective microorganisms capable of purifying water, and to develop a model to disseminate the selected microorganisms into rivers. Yeasts and bacteria, isolated from streamwater, were classified and their survivability in a contaminated water environment was confirmed. 

Having analysed the effectiveness of such river microorganisms in oil and heavy metal removal, Phytobacter diazotrophicus was identified as the most effective bacteria. 

Finally, I designed a water purification system to allow bioremediating microorganisms to be constantly disseminated from vessels into rivers, which would prevent pollutant accumulation in rivers. 

The amalgamation of both hydro-electricity and microplastic filtration is an area that is currently unexplored. Our project provides a new alternative ultimately making sustainable energy even more environmentally friendly. Both concepts combined, meet several of the UN’s sustainable development goals. We have optimised our target market to appeal to both LIC’s (Lower income countries), where clean energy will elevate living conditions, and to the HIC’s (Higher income countries), who are the largest production point of microplastics. With minimal prevention of contamination of bodies of water for both locations from household wastewater, our product will tackle this due to its promise of clean energy in a world currently prioritising sustainable energy and the prevention of plastic pollution.

I used quantum chemistry software and finally found graphitic carbon nitride: g-C3N4 (form B). After cooperation with scientists from Greece who helped me synthetize g-C3N4 (form B) I continued my experimental work in the lab.
The efficiency of g-C3N4 (form B) was investigated by using UV/Vis spectrometry. The results showed that graphitic nitride has amazing properties and can clean polluted rivers in the world.
This can be obtained by using a very simple method: We can just sprinkle g-C3N4 (form B) into rivers and wait for the results which means clean water.

This study employs a computer vision algorithm with cellulose bio-composite for rapid water analysis and purification.

FLOW is intended to repurpose shower or bath water to reuse as toilet water.