StrangerSyncs

HACKATHON PROJECT


Remember who
you've met.



Explore the prototype ↓

Drag to rotate the prototype

01 / PROTOTYPE

The idea in your field of view.

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01

Camera

Captures the surrounding environment for the recognition system.

02

ESP32

Acts as the main microcontroller for the wearable prototype.

03

Controls

Physical buttons let the user control the prototype manually.

04

Clear display

Presents useful information while keeping the user's view open.

02 / OUR MISSION

Why StrangerSyncs?

The problem

Nearly 772,000 Canadians are currently living with dementia, a number expected to surge to almost one million by 2030 (CLEAR Alzheimers).

The loss of memory creates a ripple effect that heavily burdens patients, their families, and healthcare providers.
In the early stages of memory loss, failing to recall a face or a shared moment can trigger intense anxiety, embarrassment, and social withdrawal, forcing them to rely constantly on caregivers to fill in memory gaps.


Our project focuses on one simple question:

what if technology could provide a small second memory?

03 / TEAM

The people behind it.

Khaled Abdul-Baki

Khaled Abdul-Baki

Computer Vision & Machine Learning

Utilized OpenCV and Deepface to implement the needs of the prototype. OpenCV detects the face object, and Deepface uses machine learning to recognize it.

Ashvin Sivakolunthu

Ashvin Sivakolunthu

Backend Development & Prototype Modelling

Connected the main model with Google's Firebase database server, ensuring secured API keys and Tokens, and modelled expected prototype.