Requirements Document: Emotional Health Tracker

Read HERE BEFORE CONTINUING

• https://www.hume.ai/products
• https://supabase.com/docs
• https://nextjs.org/learn?utm_source=next-site&utm_medium=homepage-cta&utm_campaign=home

Overview

The Emotional Health Tracker is a web application that allows users to log their daily activities, interactions, or journal entries. The application will use the Hume AI emotion expression model to analyze the emotional patterns and provide insights, recommendations, and alerts related to the user's emotional well-being over time. Additionally, the application will incorporate a feature to recommend songs based on the user's detected emotional state.

Functional Requirements

1. User Authentication and Profile Management

• Users should be able to create an account and log in securely.
• Users can update their profile information, including name, email, and profile picture.

2. Daily Journal Entry

• Users can create journal entries by typing or recording audio/video.
• Journal entries should have a timestamp and allow tagging with relevant categories or activities.

3. Emotion Analysis and Tracking

• Hume AI's emotion expression model will analyze the user's journal entries and detect their emotional state.
• The application will maintain a log of the user's emotional states over time, allowing them to view historical data and patterns.

4. Emotional Well-being Insights

• Based on the emotion analysis, the application will provide insights and recommendations to the user regarding their emotional well-being.
• This could include suggestions for self-care activities, mood-boosting exercises, or seeking professional help if necessary.

5. Song Recommendations

• The application will integrate with a music API or database to access a library of songs.
• Based on the user's detected emotional state, the application will recommend songs that align with or help regulate their emotional state.
• Users can create personalized playlists from the recommended songs.

6. Notifications and Alerts

• The application will send notifications or alerts to the user based on their emotional patterns or detected emotional states.
• This could include reminders for self-care activities or alerts for prolonged periods of negative emotional states.

7. Reporting and Data Visualization

• Users can view graphical representations of their emotional patterns over time, such as charts, graphs, or calendars.
• The application will provide summary reports and allow users to export their emotional data for further analysis or sharing with healthcare professionals.

Non-Functional Requirements

1. Security and Privacy

• User data, including journal entries and emotional logs, should be securely stored and protected.
• The application should comply with relevant data privacy regulations and provide users with control over their data sharing preferences.

2. Scalability and Performance

• The application should be able to handle a growing number of users without compromising performance.
• The emotion analysis and song recommendation features should have reasonable response times.

3. User Experience and Accessibility

• The application should have an intuitive and user-friendly interface, catering to users with varying technical expertise.
• The application should follow accessibility guidelines and support assistive technologies for users with disabilities.

4. Integration with Third-Party Services

• The application should seamlessly integrate with the Hume AI emotion expression model and music APIs or databases for song recommendations.
• The integration should be modular and allow for future integration with additional services or APIs.

5. Maintenance and Upgradability

• The application should be designed with maintainability in mind, allowing for easy updates, bug fixes, and feature enhancements.
• The codebase should be well-documented and follow industry best practices for software development.

Technical Requirements

1. Front-end Technologies

• The application will be built using modern front-end frameworks and libraries. I will be using Next.js
• The user interface will be responsive and compatible with various devices and screen sizes.

2. Back-end Technologies

• The back-end will be developed using a server-side language like Node.js, Python, or Ruby on Rails.
• The application will utilize a database management system (e.g., MongoDB, PostgreSQL, or MySQL) to store user data, journal entries, and emotional logs.

3. Hume AI Integration

• The application will integrate with the Hume AI emotion expression model through their provided APIs or SDKs.
• The integration should allow for seamless communication and data exchange between the application and Hume AI's services.

4. Music API Integration

• The application will integrate with one or more music APIs or databases to access a library of songs for recommendations.
• The integration should allow for searching, retrieving, and playing song previews or samples.

5. Deployment and Hosting

• The application will be deployed on a cloud platform or server infrastructure that can handle the expected user load and traffic.
• The deployment process should be automated and streamlined for efficient updates and releases.

6. Testing and Quality Assurance

• Comprehensive unit, integration, and end-to-end testing strategies will be implemented to ensure the application's functionality and reliability.
• Quality assurance processes, including code reviews, performance testing, and user acceptance testing, will be established.

Project Management and Timeline

This section should outline the project management approach, team structure, and a tentative timeline for development, testing, and deployment phases.

Conclusion

This requirements document outlines the key features, functional and non-functional requirements, and technical specifications for the Emotional Health Tracker application. It serves as a guideline for the development team and stakeholders to ensure the successful delivery of the project.