EDCare

EDCare is an AI assistant that uses personalized storytelling to improve memory, cognitive function, and emotional well-being in elderly individuals experiencing memory decline.

Table of Contents

• Overview
• Features
• Getting Started
  • Prerequisites
  • Installation
• Usage
• API Reference
• Acknowledgments

Overview

This project focuses on an AI-powered assistant designed to enhance the quality of life for elderly individuals through personalized storytelling. The assistant aims to improve memory retention, cognitive function, and emotional well-being by creating engaging and interactive story experiences tailored to the user's life and preferences.

Features

1. Storyteller

• Memoir Mode: Generates stories based on the user's life experiences.
• Interactive Mode: Presents users with story puzzles or branching narratives.
• Legacy Mode: Assists users in creating a digital legacy.

2. Personalization Techniques

• Story Elements incorporation
• Mood Recognition and Adaptation
• Multisensory Integration

3. Cognitive Enhancement Features

• Gamified Storytelling
• AI-Powered Memory Exercises

4. Emotional Well-being Features

• Therapeutic Storytelling
• Multigenerational Storytelling

Getting Started

Prerequisites

• Java 21
• Maven
• MongoDB
• IBM Watson API credentials

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/edcare.git
   cd edcare

2. Install dependencies:

   mvn install

3. Set up MongoDB:

4. Set up IBM Watson API credentials:

5. Run the application:

   mvn spring-boot:run

application.properties looks like this:

spring.application.name=Companion
spring.data.mongodb.uri=mongodb://localhost:27017/edcare
watson.nlu.url=https://api.au-syd.natural-language-understanding.watson.cloud.ibm.com/instances/your-instance-id
watson.nlu.apikey=your-api-key
watson.cloud.apikey=your-cloud-api-key

Usage

Analyze and store raw data:

curl -X POST http://localhost:8080/analyze \
-H "Content-Type: application/json" \
-d '{"userProfileId":"123","content":"Sample text to analyze"}'

Generate a story:

curl http://localhost:8080/story/generate/analysisResultId123

Create a user profile:

curl -X POST http://localhost:8080/api/userprofiles \
-H "Content-Type: application/json" \
-d '{"name":"John Doe","age":70,"interests":["gardening","reading"]}'

API Reference

Endpoint	Method	Description
/analyze	POST	Analyze and store raw data
/story/generate/{analysisResultId}	GET	Generate a story based on analysis results
/api/userprofiles	POST	Create a new user profile
/api/userprofiles	GET	Get all user profiles
/api/userprofiles/{id}	GET	Get a user profile by ID
/api/userprofiles/{id}	PUT	Update a user profile
/api/userprofiles/{id}	DELETE	Delete a user profile

Acknowledgments

IBM Watson for Natural Language Understanding , Spring Boot community , MongoDB, Java 21

Made with ❤️ by Bits&Bytes