• Humidity monitoring is essential in many fields beyond personal usage, including food processing and medicine.
• Millions of people in the world suffer from a variety of common respiratory problems like asthma, chronic obstructive pulmonary disorder and cystic fibrosis.
• These problems can be regulated by monitoring the components such as carbon dioxide (CO2), water vapour, and other volatile organic compounds (VOCs) contained in the individual’s exhaled breath.
• Examining breath samples for disease prognosis is a promising non-invasive option. However, the widespread deployment of traditionally used methods like Mass spectrometry and Raman spectroscopy has been hampered by a number of factors, such as high cost, need for trained staff, and inflexibility.
• Thus, the conducting cloth-based breath humidity sensors in the form of wearable face mask have proven to be a useful solution to a few of the problems.

The System comprises of 3 parts:

1. Fabricating the conducting cloth based breath humidity sensor:

• The non-woven polypropylene (PP) cloth is soaked in water for 12h, after which the cloth is immersed in aniline solution for 2 min and later soaked in clean water. Thereafter, the cloth is soaked in ammonium persulfate and after which again immersed in clean water (SILAR method).
• This cycle is repeated for 17 times for growth of Polyaniline (PANI) on the cloth, which turns the colour from blue to green. (Fig. 1)
• The next step is Interdigitated silver electrodes were screen-printed on the conducting cloth and was stitched on a mask and transforming it into a smart mask. The sensor was then connected to the measurement circuit via conducting thread using silver paste.

2. Microcontroller: It measures the voltage drop across the sensor.

3. Android application

• An application is developed to collect and visualize the data from the microcontroller. 
• Using deep learning, the data collected is analyzed to classify and detect the patterns in breathing.