How to Build a Mental Health Journal and Mood Tracker with Next.js 16 and Strapi 5
Blog post from Strapi
The guide explores building a private mood tracker and journal application using Strapi 5 as the backend for data management and Next.js 16 for the frontend interface. The application allows users to log daily mood scores, attach contextual tags, and write rich text journal entries, with a focus on ensuring data privacy through user-scoped data isolation. Strapi handles data storage and aggregation of mood trends, while Next.js renders the interface and visualizes data using Recharts. Authentication is managed by JSON Web Tokens (JWT), and custom user policies are implemented to enforce data isolation, ensuring only authenticated users can access their own data. The tutorial emphasizes engineering and technical implementation rather than offering mental health advice, guiding developers through setting up content types, enforcing data policies, aggregating mood data, and building user interfaces for mood logging and trend visualization.
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