Eevee Habitability Bot

Eevee Photo
Web Output

Inspiration

Our Eevee Habitability Bot was inspired by the skyrocketing cost of living surrounding us. We know that many renters and buyers skip the home inspection section prior to moving in to their new place as the cost of such inspections an additional burden on top of the down payments. We wanted to make a more affordable option for renters/buyers so that they are able to inspect the general liveability of the place before moving in, and catch discrepancies early.

What it does

Eevee Habitability Bot detects temperature, moisture level, and, light level within the household. Based on the threshold that we have given, it compares the data intermittently to check whether the place is liveable based off of where each data falls on the threshold.

How we built it

Eevee Habitability Bot's hardware component is built with the ESP32 Development Board, a temperature and humidity sensor module and a photoresistor module for Arduino. It's software component is made through the Arduino ide and coded through C++, with a dash of html splashed in.

Challenges we ran into

Originally we wanted to include a sound detection module as well, however the microphone sound detection module would not work even after expert help. It ended up working when we hooked it up to the Arduino Uno Board, however since we were using the ESP32 Board and we were limited to one board per group, we had to scratch the sound module.

Accomplishments that we're proud of

As most of us have not had much hardware experience, we are proud of getting the sensors to work the way we wanted them to after many trial and errors. In addition, we are also proud of the ability for our program to report the received data from the sensors to a webserver - the fluid software and hardware integration.

What we learned

Software's motto is 'if it works don't change anything', it unfortunately does not apply in hardware.

What's next for Eevee Habitability Bot

For future improvement, we would love to include a detection of sound using a microphone sound detection module in order to check whether or not the place is too noisy for comfortable living. We would also like to utilize the wifi connection of the ESP32 board more to check for location of the bot in order to adjust the threshold to the local climate for best results. Adding an air quality index would also be on our list as air pollution, especially in the cities, is a major issue and large amounts of pM2.5s in the air can irritate the lungs.