Daily-RUOK

Project for KitaHack 2024

Team: AI Cooking

• Sim Sze Yu
• Jonathan Siew
• Sayyid Syamil

Sustainable Development Goal 3.4 (SDG 3.4)

By 2030, reduce by one third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-being.

Overview

Achieving Sustainable Development Goal 3 (SDG 3) - Good Health and Well-being is crucial for fostering global emotional well-being. Prioritizing quality healthcare not only impacts physical health but also nurtures positive emotional states. The "Daily RUOK" system aligns seamlessly with SDG 3 by promoting emotional self-awareness and resilience.

Specifications

1. Personalised Emotional Support

   • Daily RUOK provides users with personalized responses, including advice, compliments, and motivational messages tailored to their daily input.

2. Comprehensive Emotional Data Recording

   • The system records and organizes user input over time, creating a comprehensive emotional well-being profile for each individual.

3. Visualised Emotional Journey

   • Intuitive graphical representations visually illustrate the user's emotional journey, allowing users to track patterns and observe progress over time.

4. Positive Reflection Encouragement

   • Focusing on daily check-ins and encouraging positive reflections, the system actively promotes emotional self-awareness and resilience.

5. Compassionate Companion

   • Acting as a compassionate companion, the "Daily RUOK" system guides individuals toward sustained emotional well-being and personal growth.

Google Technology Used

• PaLM API (Maker Suite)
  • Google products used to prototype and build generative AI applications.

Specific Issues Faced:

1. Interpreting Emotional Tone

   • Developing an algorithm that accurately discerns the emotional context from text inputs.

2. Generating Appropriate Responses

   • Creating a response mechanism that is relevant to the user's emotional state and offers constructive support or advice.

3. Scalability

   • Ensuring the solution can handle a large number of users simultaneously without degradation in performance.

Addressing the Challenge:

1. Algorithm Development

   • Utilizing Natural Language Processing (NLP) techniques to analyze user input.
   • Implementation of sentiment analysis using libraries like Palm API for deeper contextual understanding.

2. Response Generation

   • Crafting a response generator that uses emotional analysis to create personalized messages.
   • Integrating pre-defined response templates with dynamic content generation.

3. User Interface Integration

   • Seamlessly integrating the backend emotional analysis and response system with the user interface.
   • Choosing a responsive and intuitive frontend framework (Streamlit) that communicates effectively with the backend.

Project’s Impact Using Cause and Effect

• Personalised Emotional Support

  • Cause: Users receive tailored responses based on their daily input.
  • Effect: Enhanced emotional well-being through personalized advice, leading to reduced feelings of isolation and increased mental health awareness.

• Comprehensive Emotional Data Recording

  • Cause: Systematic recording and organizing of user input over time.
  • Effect: Users gain insights into their emotional patterns, fostering a proactive approach to mental health.

• Visualised Emotional Journey

  • Cause: Graphical representations of emotional trends.
  • Effect: Users can easily track and understand their emotional progress, encouraging them to maintain positive mental health habits.

• Positive Reflection Encouragement

  • Cause: Daily check-ins focusing on positive reflections.
  • Effect: Boosted emotional resilience and self-awareness, leading to improved coping strategies in daily life.

• Compassionate Companion

  • Cause: Guided support towards sustained emotional well-being.
  • Effect: Users feel supported and understood, particularly beneficial for those lacking access to traditional mental health resources.

Future Improvements

1. Enhancing Features

   • Integrate more comprehensive AI algorithms for deeper understanding and responses.
   • Incorporate features like mood-tracking, meditation guides, and stress-relief exercises.

2. User Engagement

   • Develop a community platform for shared experiences and support.
   • Organize virtual wellness workshops or webinars.

3. Partnerships and Collaboration

   • Partner with educational institutions, workplaces, and mental health organizations.
   • Collaborate with healthcare professionals for expert advice and validation.

4. Marketing and Outreach

   • Utilize social media and digital marketing to reach a wider audience.
   • Attend and present at tech and mental health conferences.

5. Global Expansion

   • Localize the app for different regions with multi-language support.
   • Understand and adapt to cultural differences in emotional well-being practices.

Technical Architecture for Scaling

• Using PaLM API (Maker Suite)

  • The flexibility of Google's PaLM API allows for scaling up the AI component, managing larger datasets, and providing more nuanced responses.

• Cloud Infrastructure

  • Leverage cloud computing for data storage and processing scalability.
  • Implement robust security measures for user data privacy.

• Modular Architecture

  • Design the system with modular components to easily add new features.
  • Ensure backend and frontend scalability to handle increased traffic.

• API Integration

  • Prepare for integrations with other health apps and platforms for a more holistic approach.
  • Use APIs for real-time data analysis and user feedback collection.

• Continuous Learning and Adaptation

  • Implement machine learning algorithms that adapt and improve with more user data.
  • Regularly update the system based on user feedback and technological advancements.

Link to Streamlit Web App

Daily RUOK Web App

How to Use It?

Step 1 Clone the repo by using:

git init
git clone https://github.com/szeyu/Daily-RUOK.git

Step 2 Install all the required packages. It is recommended to create a new virtual environment to prevent package collisions. Run the following command:

pip install -r requirements.txt

Step 3 Open your Anaconda prompt or Python terminal.

Step 4 Change directory (cd) into the GitHub folder directory.

Step 5 Run the following command to start the application:

streamlit run dailyRUOK.py

Now, you should be able to access and use the "Daily RUOK" system through the provided Streamlit web app link.