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Project Keywords:

Health, Wellness, App, AI, Assistive Technology, Mental Health

Care Capsule

Project Summary

Academic Area:

Project Medium:

This APP is an all-in-one assistant for elderly individuals, featuring a chatbot powered by Apple’s Create ML to detect loneliness or depression, medication tracking, community resources, and a memory record feature.

Project Achievements

Distinguished Winner of the Swift Student Challenge; plans to publish the app on the App Store and use WWDC24 insights to improve it further.

Project Inspiration

Inspired by her grandparents, particularly her grandmother in the late stages of Alzheimer’s, Galluzzo aimed to address the challenges faced by aging populations and their caregivers.

Project Social Impact

By combining AI-driven mental health support and practical caregiving tools, This APP enhances quality of life for elderly individuals while easing the burden on caregivers

Project Market Demand

By combining AI-driven mental health support and practical caregiving tools, This APP enhances quality of life for elderly individuals while easing the burden on caregivers

Background Knowledge Needed:

  • Fundamentals of elderly care and common health issues such as Alzheimer's, dementia, and depression.

  • Understanding of AI-driven chatbots and machine learning models, particularly in sentiment analysis.

  • Basic principles of medication management and healthcare compliance regulations.

  • Proficiency in Swift for iOS development and familiarity with UIKit or SwiftUI for UI design.

  • Introduction to APIs for community resources, health tracking, and notifications.


Tools, Equipment, Software Needed:

  • Xcode for iOS app development.

  • Swift & SwiftUI for building the app interface.

  • Apple’s Create ML for training the chatbot to detect signs of loneliness or depression.

  • CoreML for on-device AI processing to ensure privacy and efficiency.

  • HealthKit for medication reminders and health monitoring.

  • CloudKit or Firebase (optional) for securely storing user data and memory records.

  • Figma or Sketch (optional) for UI/UX design and prototyping.


Basic Steps to Achieve This:

  • Research elderly care challenges and identify common needs among caregivers and aging individuals.

  • Develop an AI chatbot using Create ML to detect signs of loneliness and depression based on user interactions.

  • Implement medication tracking with reminders and notifications for scheduled doses.

  • Create a memory record feature that allows users to store important life moments for future recall.

  • Integrate community resources to connect elderly individuals with local support services and activities.

  • Test accessibility features to ensure ease of use for elderly individuals, such as large fonts, voice commands, and simplified navigation.

  • Optimize & launch by submitting the app to the App Store and gathering user feedback for future improvements.

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