Inspiration
Last time when I was on event, I made some fantastic connections but next day, I couldn't recall them. This was embarrassing but I asked again and when they told me about context of our last meeting, I remembered everything! this brought the spark for this project. And I don't think its problem of only mine, I feel like most of us have went through this issue and it is reported that "85% of professionals admit to forgetting critical details about people they've met."
What it does
We're developing a digital memory assistant to help you remember people in social situations without being creepy or invasive. This is how it works in human terms:
1) Our Simple, Ethical Solution
Instead of recording conversations in secret, like some apps, ContextCards uses a mutual consent approach: both parties have to actively agree to connect, by scanning each other's QR codes, in a sort of digital handshake. And Most Important of all, No data collection on the sly; no surreptitious recording.
2) How It Works Day-to-Day
*You meet a new person at a conference or networking event
*You both open ContextCards and scan each other's QR codes
*You jot down a quick note about them: "Sarah - works on AI safety, loves hiking"
*Next time you see Sarah, your phone's camera recognizes her and flashes your note to you discreetly
*No 'I forgot your name' awkward moments, no frantic Googling trying to remember
3) What Sets Us Apart
We handle your personal data like it's actually personal. Your memories stay on your phone, we don't sell your data, and we don't record conversations. You are in full control: you can set notes to automatically expire after events or delete everything with one tap.
4) Who It's For
Busy professionals and networkers, people with social anxiety-or honestly anyone who has struggled to remember the names and connections of those around them. It's technology to help with, rather than get in the way of, human connection. The Bottom Line: We're building the polite, respectful way to never forget a name again - because better connections shouldn't require worse privacy.
Challenges we ran into
1) Face recognition model:
We ran into the typical problems of hackathon about model training but for the current MVP, we decided not to get involved into training one instead, we decided on using face_recognition library from python for this prototype.
2) No IoT:
This project is actually meant to be IoT project with camera integrated in glasses but due to limitation, we decided on using web version for demo and if we get enough reach, we could scale this project.
Accomplishments that we're proud of
At the end of the day, we were able to set our skills together to create something that could bring a change, that change for us is solving networking and social connection problems.
What we learned
I personally learned many things and as a team, we learned about project designing and other basics as its our first online hackathon which is really different from offline ones we attended.
What's next for Context cards
For future, we can add IoT in this project to 100x the concept. Additionally we can train our own model with custom dataset and all for even better accuracy.
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