Shadow-App System Requirements Document

Introduction

The Shadow-App is designed to provide users with a platform for making predictions with high accuracy. This document outlines the system requirements for the Shadow-App, ensuring that all functionalities and user interactions are clearly defined.

System Overview

Shadow-App aims to deliver a seamless user experience for prediction activities. The application will focus on providing accurate predictions and an intuitive interface for users to engage with the system effectively.

Functional Requirements

• As a User, I should be able to make predictions using the WINGO 1MINut feature with 100% accuracy.
• As a User, I should be able to view prediction results in real-time.
• As a User, I should be able to access historical prediction data for analysis.
• As a User, I should be able to receive notifications about prediction outcomes.

User Personas

• Regular User: Engages with the app to make predictions and view results.
• Admin: Manages the app's functionalities and oversees user interactions.

Core User Flows

• User logs into the app -> selects WINGO 1MINut feature -> makes a prediction -> views real-time results.
• Admin logs into the app -> monitors user activities -> manages prediction algorithms -> updates system settings.

Visuals Colors and Theme

• primary: #1E3A8A (Deep Blue)
• primary_light: #3B82F6 (Light Blue)
• secondary: #F97316 (Vibrant Orange)
• accent: #10B981 (Emerald Green)
• highlight: #F59E0B (Amber)
• bg: #F3F4F6 (Light Gray)
• surface: rgba(255, 255, 255, 0.8)
• text: #111827 (Dark Gray)
• text_muted: #6B7280 (Muted Gray)
• border: rgba(209, 213, 219, 0.2)

Signature Design Concept

The Shadow-App will feature an interactive prediction dashboard that resembles a futuristic control panel. Users will interact with a dynamic interface where prediction elements animate into place as they scroll. The dashboard will utilize framer-motion for smooth transitions and gsap for scroll-triggered animations. Users can drag and drop prediction cards, which will flip to reveal results, creating an engaging and immersive experience.

Interaction Model & Motion Direction

The landing page will employ a "parallax" interaction model, providing a layered depth effect as users scroll through the content. Each section will feature distinct interactive elements, such as kinetic typography and scroll-triggered animations, to maintain user engagement and enhance the storytelling aspect of the app.

Non-Functional Requirements

• The system should ensure high availability and reliability.
• The application must support real-time data processing.
• The user interface should be responsive and accessible on various devices.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Models: Not specified
• AI Tools: Not specified
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The application will primarily serve users in India, considering local time zones and currency formats.
• The prediction accuracy is assumed to be 100%, as per user expectations.
• The system will handle a high volume of concurrent users without performance degradation.

Glossary

• WINGO 1MINut: A feature within the app for making rapid predictions.
• Prediction Dashboard: The main interface where users interact with prediction features.
• Parallax: A scrolling technique that creates a depth effect by moving background and foreground elements at different speeds.