Inspiration
I got inspiration to include AI due to the rise of Chat GPT and its popularity. With the increasing rise of devastating wildfires that affect many industries like agriculture, I wanted to create a system that could help prevent them from happening.
What it does
FireSense is an early wildfire prediction/detection system that uses a DHT-11 sensor and an Arduino UNO to measure temperature and humidity levels in forested areas. This data is then analyzed using OpenAI's API for GPT 3.5 to predict the likelihood of a wildfire occurring.
How we built it
FireSense was built using an Arduino board, a DHT11 sensor, and OpenAI's API for GPT 3.5. The sensor measures temperature and humidity levels in the surrounding environment, and the data is processed by the Arduino board. The board then sends the data to OpenAI's API, which uses natural language processing to analyze the data and predict the likelihood of a wildfire. This was built in the Arduino IDE and on Replit.
Challenges we ran into
One of the main challenges I encountered was fine-tuning the GPT 3.5 prompt to ensure accurate predictions. Additionally, ensuring that the DHT11 sensor was measuring accurate data in a forest environment was a challenge we had to overcome.
Accomplishments that we're proud of
We are proud to have developed a system that has the potential to help prevent devastating wildfires from occurring. Additionally, we are proud of the team's ability to integrate both hardware and software components into a cohesive system.
What we learned
In the future, we plan to further optimize the GPT 3.5 prompt and expand the system's capabilities to include additional sensors and analytics. Ultimately, our goal is to make FireSense a comprehensive wildfire prevention system that can help protect communities and natural environments from the devastating effects of wildfires.
What's next for FireSense
In the future, we plan to further optimize the GPT 3.5 prompt and expand the system's capabilities to include additional sensors and analytics. Ultimately, our goal is to make FireSense a comprehensive wildfire prevention system that can help protect communities and natural environments from the devastating effects of wildfires.
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