Empathease

Create specs and UI/UX for empathy challenges a training section of the app that will have the user go through various challenges to improve their empathy.

Detailed specs for challenges in Miro or Google Docs. Figma UI/UX.

$4,000 USD

Completeness & Clarity – The specifications fully define the system’s functionality, constraints, and requirements, ensuring developers can implement without ambiguity. Usability & Accessibility – The UI/UX design follows best practices, ensuring an intuitive, accessible, and engaging user experience across devices.

Implementation of previous milestone's specs into backend ai logic and mobile.

Fully-functional "challenges" on mobile app that test user's ability to offer empathy.

$8,000 USD

1. AI Backend Success Criteria Accurate AI Feedback – AI reliably evaluates user responses based on empathic communication principles, providing constructive feedback. Seamless Integration – The AI backend effectively processes inputs from the mobile app and returns feedback within 5 seconds to ensure smooth user experience. 2. Mobile App Success Criteria Fully-Functional Empathy Challenges – Users can complete challenges, including multiple-choice, voice-based, and word-order exercises, with AI-generated feedback. Engaging & Usable UI – The challenge interface is intuitive, with smooth navigation, clear instructions, and a seamless experience across devices. Error Handling & Edge Cases – The system gracefully handles incomplete responses, mispronunciations, or unexpected inputs without crashing.

Create specs and UI/UX for personal trainer challenges a training section of the app that will have the user go through adaptive challenges to improve their empathy. This includes an AI that gets to know you and uses this information to trigger and empathize with you!

Detailed specs for in Miro or Google Docs. Figma UI/UX.

$4,000 USD

Completeness & Clarity – The specifications fully define the system’s functionality, constraints, and requirements, ensuring developers can implement without ambiguity. Usability & Accessibility – The UI/UX design follows best practices, ensuring an intuitive, accessible, and engaging user experience across devices.

Implementation of previous milestone's specs into backend ai logic and mobile.

Fully-functional "personal trainer" on mobile app that test user's ability to offer empathy. This will be a conversational AI with voice that is able to digest your personal info from a conversation and recall it. This will be become a daily challenge in which you have a personalized conversation with the trainer to meet empathetic goals.

$8,000 USD

1. AI Backend Success Criteria Accurate AI Feedback – AI reliably evaluates user responses based on empathic communication principles, providing constructive feedback. Seamless Integration – The AI backend effectively processes inputs from the mobile app and returns feedback within 5 seconds to ensure smooth user experience. 2. Mobile App Success Criteria Fully-Functional Empathy Challenges – Users can complete challenges, including multiple-choice, voice-based, and word-order exercises, with AI-generated feedback. Engaging & Usable UI – The challenge interface is intuitive, with smooth navigation, clear instructions, and a seamless experience across devices. Error Handling & Edge Cases – The system gracefully handles incomplete responses, mispronunciations, or unexpected inputs without crashing.

Research methodologies best practices existing models and potentially consult with others in order to gain a better understanding of how to best create Empy an AI that has compassionate communication with the user and remembers them.

A brief report on what has been learned and how to best implement Empy

$4,000 USD

1. Depth & Breadth of Research Comprehensive Review of Existing Models – Analysis of AI systems that engage in emotional intelligence, memory retention, and compassionate communication (e.g., GPT models, RAG systems, therapy chatbots). Evaluation of Best Practices – Identification of methodologies from fields like psychology, Nonviolent Communication (NVC), and AI ethics to enhance Empy’s capabilities. 2. Practical Applicability Framework Development – Creation of a structured approach defining how Empy will process, store, and retrieve user context while maintaining ethical standards.

Create specs and UI/UX for Empy an AI that has compassionate communication with the user and remembers them.

Detailed specs for in Miro or Google Docs. Figma UI/UX.

$4,000 USD

Completeness & Clarity – The specifications fully define the system’s functionality, constraints, and requirements, ensuring developers can implement without ambiguity. Usability & Accessibility – The UI/UX design follows best practices, ensuring an intuitive, accessible, and engaging user experience across devices.

Implementation of previous milestone's specs into backend ai logic and mobile.

Fully-functional empathic communicator on mobile app that is available to offer on-demand empathy. This will be a conversational AI with voice that is able to digest your personal info from a conversation and recall it.

$18,000 USD

1. AI Backend Success Criteria Accurate AI Responses – AI reliably engages in compassionate conversations, understanding user emotions and providing empathic, context-aware responses. Memory & Recall – The AI accurately retains and recalls key personal details from past conversations to create a personalized, evolving interaction. Seamless Integration – The backend processes voice and text inputs efficiently, returning responses within 5 seconds to ensure a natural conversation flow. Real-Time Speech Processing – AI understands and generates voice-based interactions with minimal latency, maintaining conversational fluidity. 2. Mobile App Success Criteria Fully-Functional Conversational AI – Users can engage in voice-based conversations where the AI listens, understands, and responds with contextual empathy. Engaging & Usable UI – The interface is intuitive, enabling easy voice interaction, clear feedback, and seamless accessibility across devices. Error Handling & Adaptability – The system gracefully handles mispronunciations, interruptions, and incomplete inputs without breaking the conversation. Secure & Ethical Memory Use – User data is stored and retrieved responsibly, with privacy safeguards ensuring consent-based memory retention.