System Requirements Document (SRD) for Sage-Outfit

1. Introduction

The Sage-Outfit project, also known as FitMatch, is a one-tap outfit decision application designed to simplify and personalize daily outfit selection. The app provides users with two perfect outfit options instantly, tailored to their preferences, occasion, and weather. The goal is to create a fast, engaging, and habit-forming experience that feels personal and addictive. This document outlines the system requirements for the development of Sage-Outfit, ensuring clarity and alignment with the project's objectives.

2. System Overview

Sage-Outfit is a decision engine that eliminates the confusion of outfit selection by providing users with two curated options based on minimal input. The app is divided into two main categories: Men and Women, each offering features like "Match My Clothes" and "Ready Outfit Combos." The system uses a Core Color Engine to ensure visually appealing combinations and a Save System to personalize future recommendations. The app is designed for speed, with a response time of under 2 seconds, and includes engaging features like a streak counter and reward system to encourage daily use.

Key features include:

• Home Screen with a "Pick My Outfit" button and streak counter.
• Outfit Matching logic for men and women based on user input.
• Core Color Engine for safe and stylish combinations.
• Personalization through saved preferences and streak tracking.
• High-Retention UI Design with smooth animations and intuitive navigation.

3. Functional Requirements

Home Screen

• As a User, I should see a large "Pick My Outfit" button for instant outfit suggestions.
• As a User, I should see separate sections for "Men" and "Women."
• As a User, I should see a streak counter (e.g., "🔥 3 Day Style Streak") to track my daily usage.

Outfit Matching

Men Section

• As a Male User, I should be able to select a shirt or pant to get two matching options.
• As a Male User, I should be able to view two "Ready Combos" for complete outfit suggestions.

Women Section

• As a Female User, I should be able to select a top or bottom to get two matching options.
• As a Female User, I should be able to view two "Ready Combos" for complete outfit suggestions.

Core Color Engine

• As a System, I should ensure all outfit combinations follow safe matching rules:
  • Neutral + Bold
  • Light + Dark
  • Monochrome tones
• As a System, I should avoid bright clashes and overly colorful combinations.

Save System

• As a User, I should be able to save outfits I like.
• As a System, I should store user preferences (e.g., color and style) to personalize future suggestions.

Streak System

• As a User, I should see my daily streak count and receive rewards for consistent usage.
• As a System, I should unlock premium combos or "Pro Picks" as streak rewards.

Speed Rule

• As a System, I should generate outfit suggestions in under 2 seconds without loading screens.

4. User Personas

1. Male User

• Goal: Quickly find matching outfits or ready combos for various occasions.
• Needs: Simple interface, fast results, and stylish suggestions.

2. Female User

• Goal: Discover matching outfits or ready combos with softer palettes and aesthetic appeal.
• Needs: Personalization, visually pleasing combinations, and easy navigation.

3. Admin

• Goal: Manage the outfit database, update matching rules, and monitor system performance.
• Needs: Backend access, data visualization, and control over personalization algorithms.

5. Visuals Colors and Theme

Unique Color Palette

• Background: #F5F5F5 (Light Mist Gray)
• Surface: #FFFFFF (Pure White)
• Text: #2C2C2C (Charcoal Black)
• Accent: #0047AB (Royal Blue)
• Muted: #B0BEC5 (Steel Gray)

This palette ensures a clean, modern, and professional look while maintaining high readability and visual appeal.

6. Signature Design Concept

Interactive Wardrobe Carousel

The homepage will feature an Interactive Wardrobe Carousel as the centerpiece. Users will see a rotating 3D wardrobe with outfit cards displayed as hanging clothes. Each card will "slide out" as the user taps the "Pick My Outfit" button, revealing two outfit options in a smooth, animated sequence.

Details:

• Animations: The wardrobe rotates slightly with each tap, and the selected outfit cards "float" forward with a fade-in effect.
• Micro-Interactions: Hovering over an outfit card will cause it to gently "sway," mimicking the movement of hanging clothes.
• Transitions: Swiping left or right will smoothly transition between outfit categories (e.g., Men/Women).
• Color Shifts: The background subtly changes tone based on the selected category (e.g., light blue for Men, soft pink for Women).

This design creates a memorable first impression and reinforces the app's focus on style and personalization.

7. Non-Functional Requirements

• Performance: The system must generate outfit suggestions in under 2 seconds.
• Scalability: The app should handle up to 1 million daily active users.
• Localization: Support for Portuguese (BR) as the default language.
• Accessibility: Ensure WCAG 2.1 compliance for color contrast and text readability.
• Security: Protect user data with encryption and secure authentication.

8. Tech Stack

Frontend

• React for web application.
• React Native for mobile application.

Backend

• Python with FastAPI for API development.

Database

• MySQL for relational data (outfits, rules, user preferences).
• MongoDB for storing user interaction logs.
• WeaviateDB for vector-based personalization.

AI Models

• GPT 5.4 for user-friendly responses.
• Claude 4.6 Opas for coding and academic logic.
• Google Nano Banana for generating outfit visuals.

AI Tools

• Langchain for AI workflow orchestration.
• Litellm for LLM routing.

Orchestration

• Docker and docker-compose for local development.
• Kubernetes for server-side orchestration.

9. Assumptions and Constraints

Assumptions

• Users will primarily access the app via mobile devices.
• The app will initially target the Brazilian market, with potential for global expansion.
• Outfit suggestions will be based on a pre-defined database of combinations.

Constraints

• The system must operate within a 2-second response time.
• Limited to two outfit suggestions per query to maintain simplicity.
• Initial launch will support only Portuguese (BR).

10. Glossary

• Outfit Card: A visual representation of a suggested outfit, including a top, bottom, style tag, and reason.
• Core Color Engine: The algorithm responsible for generating visually appealing outfit combinations.
• Streak System: A feature that tracks daily app usage and rewards users for consistency.
• Interactive Wardrobe Carousel: A 3D rotating interface for selecting outfits on the homepage.
• Safe Match Formula: Rules for combining colors and styles to ensure aesthetic appeal.

This document provides a comprehensive blueprint for the development of Sage-Outfit. By adhering to these requirements, the project will deliver a fast, engaging, and user-friendly experience that meets the needs of its target audience.