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Assistive app for dementia patients using face recognition to provide familiar context.

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osamaajr/memory-anchor

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🧠 Memory Anchor

Memory Anchor is an assistive web application designed to support patients with dementia by helping them recognise familiar faces and recall important personal context.

The application is intended to be used by caretakers, providing patients with gentle, structured reminders such as a person’s name, relationship, last interaction and more!

🔗 Live demo: https://memory-anchor-dev.lovable.app


🧩 What Problem It Solves

For individuals living with dementia, recognising people and recalling relationships can be distressing.
Memory Anchor aims to reduce confusion and anxiety by offering instant, familiar context when a face is recognised.


🚀 Core Features

  • 🧑‍🤝‍🧑 Face recognition using a preset image database
  • 📝 Displays contextual information:
    • Name
    • Age
    • Relationship
    • Last interaction
    • Current update
  • 🧠 Designed specifically for caretaker-assisted use
  • 🎯 Simple, minimal interface to avoid cognitive overload
  • 📸 Single-photo input per individual

✨ Tech Stack

This project was built using Lovable, focusing on rapid prototyping and UI-driven development.

Underlying technologies include:

  • React
  • TypeScript
  • Tailwind CSS
  • Component-based UI architecture

(Exact implementation details may evolve as the project matures.)


🔮 Planned Improvements

  • 🥽 VR integration for hands-free usage
  • 🎙️ Speech recognition to automatically populate or retrieve information
  • ☁️ Expanded data management for larger patient profiles
  • 📱 Further accessibility and UX refinements

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Assistive app for dementia patients using face recognition to provide familiar context.

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