Inspiration
Through personal experience, we noticed that non-English speakers aren't supported as effectively in our current emergency services systems. We wanted to take the initiative and improve the accessibility of emergency services with AI. ## What it does Having recognized the problem we wanted to fix, we built a platform to ease communication between non-native speakers and 911 operators. This is achieved through real-time translation, video call support, a chat box as well as easily accessible data about the caller to help the operator with their job in a matter of seconds.
How we built it
We gather information like audio, location, and other personal details from the caller's phone, and translate their voice into English in real-time. We also transcribe what is being said by the caller so that the operator can refer back to what was previously said
Challenges we ran into
We faced
Accomplishments that we're proud of
We built a platform that could save lives! We believe this tool is potent and could scale beyond MHacks. We worked really hard because we believed in the platform and our inspiration. Some of us learned new technologies and organization skills, we all grew while advocating for change.
What we learned
We learned that the best resources we had were ourselves! There were many times when we worked together to solving a compiler issue or a new piece of syntax we've never seen before. But it always came down to: What do we want to achieve, who can be the best resource, and how can we solve it together?
What's next for Heard
We want to connect with underrepresented communities that face this issue most, that way we can gather feedback and further improve our project. Current ideas for future iterations include more data processing to include the caller's mental and physical health status.
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