E-cigarettes have been shown to cause problems with addiction and health, especially in teenagers. We were inspire to find an organic tech solution to help smokers struggling with addiction.

What it does

Our project is a e-cigarettes accessory for smokers who are looking to quit their smoking addiction. Our project is an IoT device that automatically tracks the time spent smoking and visualizes this usage data on a mobile app. The mobile app also uses machine learning to predict when a smoker is feeling tempted to smoke and sends the smoker a notification to keep up their clean streak.

How I built it

We used the Particle Photon microcontroller to communicate with a web server whenever the e-cigarette is in use. The web server then saves this data in the database and queries the data when a companion mobile app is used to visualize the collected data. We also soldered all the Particle Photon and additional hardware to a small board, and we 3D printed an e-cigarette prop.

Challenges I ran into

The Particle Photon had trouble connecting to wifi networks which made communicating with the web server difficult.

Accomplishments that I'm proud of

First time working with the Particle Photon chip and 3D printing.

What I learned

Learned how to use the Particle Photon microcontroller, how to solder and desolder, React, and Flask.

What's next for Nuul

Our project can be expanded further by using machine learning to analyze the smoking patterns of its users. The machine learning model could then predict when the smoker is feeling the most tempted to relapse with their addiction and send the smoker a notification to keep them motivated and improve their willpower momentarily. This could be done with a Naive Bayes classifier.

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