> For the complete documentation index, see [llms.txt](https://docs.meetnuri.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.meetnuri.com/technology/frontend-and-backend.md).

# Frontend & Backend

**Frontend**

Nuri’s frontend is built with **Next.js** and **Tailwind CSS**, configured as a **Progressive Web App (PWA)** to optimize speed, responsiveness, and accessibility across all devices.

* **Next.js** enables hybrid rendering (combining server-side and static generation) to provide lightning-fast loading, SEO optimization, and dynamic interaction - crucial for time-sensitive user flows like tracking a meal or logging a workout.
* **Tailwind CSS** ensures pixel-perfect UI/UX design, allowing for utility-first, component-based styling that supports mobile-first experiences - a necessity, as 70%+ of wellness app usage occurs on mobile.
* As a **PWA**, Nuri allows users to operate offline - caching key features like the mood selector, fasting timer, and food logger. This design improves reliability and user engagement, especially in fitness scenarios (gyms, outdoor runs, etc.). According to Habit Formation studies, apps with offline tracking can boost consistency by **25–30%**.

**Backend**

The backend is designed for **performance, concurrency, and complex analytics**.

* **Node.js** powers real-time responses - ideal for syncing dynamic user inputs like nutrition logs or fitness data.
* **Redis** provides low-latency caching for frequently accessed datasets (e.g., macro summaries, mood streaks), dramatically reducing load times and boosting responsiveness.
* **PostgreSQL**, a powerful relational database, manages deep user profiles, time-series symptom data, and behavioral metrics. Its ACID compliance ensures data accuracy and its support for advanced queries allows Nuri to correlate:
  * Fitness intensity ↔ Macronutrient burn
  * Fasting duration ↔ Mood fluctuations
  * Nutrient gaps ↔ Sleep & energy levels

This architecture positions Nuri to offer **real-time, science-backed coaching** at scale, while maintaining data integrity and security.


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