Search

AiSee

About

AI-powered wearable device for real-time visual assistance

AiSee addresses the challenges faced by over 250 million people with visual impairments (PVI), such as identifying groceries and reading ingredient lists. Current solutions often lack accuracy and usability. AiSee offers a novel solution through an AI-powered wearable device that provides real-time assistance. Users simply ask the device questions about their surroundings, and it responds audibly, describing what it “sees” or “reads”. This user-centric design integrates seamlessly with daily life, enhancing independence and fostering greater social inclusion.

Team

  • Hussel Suriyaarachchi

    Hussel Suriyaarachchi

    National University of Singapore

    I am a software engineer and a computer scientist with experience developing applications that enable and enhance interactions with the physical world. My background spans from working with full-stack technologies for web and mobile to developing novel solutions for interfacing with embedded systems and custom hardware. I hope to leverage my skills as an engineer and researcher into exploring and innovating new technologies that extend the limit of our perceptual and cognitive capabilities. more

  • Yasith Samaradivakara

    Yasith Samaradivakara

    National University of Singapore

    I'm a Research Engineer at Augmented Human Lab at the National University of Singapore where my primary focus is building intelligent wearables and digital interfaces that augment human potential.more

    Portfolio LinkedIn

Discover
the
Project


Similiar Projects

AmCURE Antibiotic

AmCURE Antibiotic

Infection risk reduction

Nanyang Technological University

Targeted antimicrobial treatment for resistant infections

ANGIE

ANGIE

Patient comfort

ETH Zurich

Magnetically guided microcapsules for brain tumour treatment

Belly Buddy

Belly Buddy

Health and Well-being

Harvard University

Early detection and non-invasive correction of breech pregnancies

Chemo Descell

Chemo Descell

Breast cancer

Universidad de Ingeniería y Tecnología – UTEC

Decellularized ECM model for breast cancer studies