project-eef9b0de System Requirements Document

Introduction

The purpose of this document is to outline the system requirements for "project-eef9b0de," an AI-powered portrait and posing assistant. This application aims to provide users with real-time guidance on posing, body language, lighting analysis, and cinematic composition to capture professional-quality portraits.

System Overview

"project-eef9b0de" is designed to assist users in taking professional-quality portraits by offering real-time AI guidance. The application will analyze body language, lighting conditions, and environmental factors to suggest optimal poses and ensure every shot is cinematic and perfectly balanced.

Functional Requirements as Story Points

• As a User, I should be able to receive real-time AI guidance for posing to capture professional-quality portraits.
• As a User, I should be able to get body language suggestions to enhance the quality of my portraits.
• As a User, I should be able to receive lighting analysis to adjust my environment for better portrait outcomes.
• As a User, I should be able to get cinematic composition tips to ensure my portraits are well-balanced and visually appealing.

User Personas

• Amateur Photographer: Someone who enjoys photography as a hobby and wants to improve their portrait-taking skills with AI assistance.
• Professional Photographer: An experienced photographer looking for advanced AI tools to enhance their portrait sessions.
• Social Media Influencer: A user who frequently posts portraits on social media and seeks to improve the quality and appeal of their images.

Core User Flows

1. Amateur Photographer:

   • Opens the app -> Selects portrait mode -> Receives real-time posing guidance -> Adjusts pose based on suggestions -> Captures the portrait.

2. Professional Photographer:

   • Opens the app -> Chooses advanced settings -> Receives detailed lighting and composition analysis -> Adjusts environment and pose -> Captures the portrait.

3. Social Media Influencer:

   • Opens the app -> Selects social media mode -> Receives body language and composition tips -> Adjusts pose and environment -> Captures and shares the portrait.

Visuals Colors and Theme

• primary: #1A73E8 (Deep Blue)
• primary_light: #4D90FE (Light Blue)
• secondary: #FF7043 (Coral)
• accent: #F4B400 (Vibrant Yellow)
• highlight: #FBBC05 (Amber)
• bg: #FFFFFF (White)
• surface: rgba(250, 250, 250, 0.8)
• text: #202124 (Dark Gray)
• text_muted: #5F6368 (Light Gray)
• border: rgba(218, 220, 224, 0.2)

Signature Design Concept

The homepage will feature an interactive "Portrait Studio" concept. Users will see a dynamic, real-time simulation of a photo studio where AI elements guide a virtual model into various poses. As users interact, they can click on different lighting setups and see immediate changes in the model's pose and environment. This interactive experience will be powered by motion/react for smooth transitions and animations.

Landing Hero Motion Brief

The landing hero will depict a virtual model in a studio setting. The model will change poses in response to user inputs, showcasing the app's AI capabilities. The scene will loop every 10 seconds, demonstrating different lighting and composition adjustments. Users can interact by selecting different pose suggestions, which will animate the model's transformation into the new pose, highlighting the app's real-time guidance feature.

Interaction Model & Motion Direction

• Intended Interaction Model: Animated
• The landing page will feature moderate scroll-triggered reveals and hover transitions, enhancing user engagement with spring physics on interactive elements.

Non-Functional Requirements

• The application must provide real-time feedback with minimal latency.
• The user interface should be intuitive and easy to navigate for all user personas.
• The system should support high-resolution images for detailed analysis.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Models: GPT 5.4 for user-friendly responses, Google Nano banana for image generation
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The application will primarily target users in India, considering local preferences and conditions.
• The app should be compatible with both desktop and mobile platforms.
• Internet connectivity is required for real-time AI processing.

Glossary

• AI: Artificial Intelligence
• LLM: Large Language Model
• UI: User Interface
• UX: User Experience

This document outlines the comprehensive requirements for "project-eef9b0de," ensuring that the application meets user needs and provides an engaging, interactive experience.