Inspiration

We always wanted to know the hidden electricity costs from big offices to our homes.

What it does

What the project does is it takes the temperature from inside your home, takes the temperature from outside your home, and calculates the kWh pulled and the price in your area.

How we built it

We used an ESP32 board paired with a temperature sensor paired with an LED light. We paired all these with a breadboard and used APIs to pull outside temperature. We then used a Web portal to display the API data as well as the calculation for the kWh based on the temperature sensor in our ESP 32

Challenges we ran into

The Arduino IDE was a major limiting factor for us, the code was hard to iterate through due to the challenges, and it was also a challenge to get our Temperature sensor working.

Accomplishments that we're proud of

We are proud of the entire project, this is one of the few times we have worked with an ESP32 and ay accessories, so we were proud that we were able to accomplish the project and make a cool program.

What we learned

We learned a lot about the Arduino IDE and a lot about the ESP 32 and its accessories.

What's next for SNP 500's Temp Sensor

We want to have a more iterative and user-friendly AI as well as use OpenAI integrations to calculate data.

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