At CodeXae, we created Feelinghub - a secure, empathetic web app that helps users understand and nurture their emotional health through intelligent journaling and mood analysis. This project combines thoughtful design with AI to create a calming digital space for emotional reflection.
View ProjectWith 1 in 5 adults experiencing mental health challenges annually, Feelinghub addresses the growing need for accessible emotional support tools. CodeXae designed and developed this platform from concept to deployment, focusing on privacy, simplicity, and emotional intelligence.
This case study explores our human-centered design approach, technical implementation, and the impact of creating a digital tool that genuinely supports emotional wellbeing.
Create a non-invasive way for users to track daily emotions through intuitive journaling and mood tagging.
Develop data visualization to help users identify emotional trends and triggers over time.
Integrate smart mood analysis to offer personalized feedback and coping strategies.
Ensure all user data remains encrypted and private with GDPR-compliant practices.
Design a minimalist, soothing UI that encourages regular use without overwhelm.
Optimize for full responsiveness across all devices with a mobile-first approach.
Intuitive interface for logging emotions with tags, ratings, and free-form entries. Users can track daily feelings and revisit their history.
Visual representations of mood patterns including heatmaps, weekly trends, and emotion distribution to identify personal triggers.
Generates personalized affirmations, mood summaries, and self-care suggestions based on journal entries using OpenAI's sentiment analysis.
Curated mindfulness exercises including breathing prompts, gratitude journaling, and guided reflection templates.
Conducted user surveys, designed low-fidelity wireframes, and created empathy maps to understand emotional journaling needs.
Developed high-fidelity mockups with soothing pastel palette and clean typography. Iterated through 3 feedback rounds.
Built React frontend components, Node.js APIs, MongoDB integration, and implemented JWT authentication with encryption.
Connected OpenAI API, fine-tuned sentiment analysis prompts, and implemented non-judgmental response generation.
Conducted usability testing with 20+ users, fixed UX bugs, optimized mobile experience, and deployed to production.
5,000+ mood entries logged in first 2 months with 70% mobile usage showing strong adoption.
92% of beta users reported improved emotional awareness and self-understanding.
Users described AI suggestions as "comforting" and "surprisingly accurate" in feedback sessions.
Strong interest for expansion into workplace wellness and therapist-assisted versions.
We crafted an interface that feels safe and calming:
Our AI integration provides meaningful emotional insights:
Security measures to protect sensitive user data:
Creating AI responses that felt genuinely supportive without being clinical or generic.
Solution: Extensive prompt engineering and testing with diverse user groups to ensure tone was consistently warm and helpful.
Users might access the app during vulnerable moments needing different UI approaches.
Solution: Context-aware interface that simplifies options during negative mood logs and expands during positive/neutral states.
Mental wellness tools often suffer from low engagement after initial novelty.
Solution: Gentle reminders, streak tracking, and showing meaningful insights from minimal data to demonstrate value quickly.
Feelinghub launched in beta with 100 users and demonstrated strong product-market fit:
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