turbo-system

bySUJAL MAURYA

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Landing

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System Requirements

System Requirement Document
Page 1 of 4

System Requirements Document

1. Introduction

This document outlines the system requirements for the WinGo AI BRAIN PRO, an advanced AI-driven prediction engine designed to decode game patterns and provide accurate predictions based on the last 10 results. The system aims to enhance prediction accuracy by utilizing a new AI that decodes the game with high accuracy, ensuring no consecutive losses.

2. System Overview

The WinGo AI BRAIN PRO is a sophisticated AI engine that dynamically generates and tests over 1000 mathematical formulas to predict game outcomes. It leverages historical data and pattern recognition to ensure high accuracy and prevent consecutive losses. The system is designed to be fully autonomous, with a focus on providing accurate predictions and a seamless user experience.

3. Functional Requirements

  • As a user, I want the AI to fetch the last 10 live results via API every 60 seconds to ensure predictions are based on the most recent data and decode the game with high accuracy.
  • As a user, I want the AI to develop a new decoding mechanism that uses the last 10 results to predict game outcomes with high accuracy, ensuring no consecutive losses.
  • As a user, I want the AI to provide a confidence score for each prediction to gauge the reliability of the prediction.
  • As a user, I want the system to display live results and prediction history for transparency and tracking.
  • As a user, I want the AI to ensure no consecutive losses by accurately decoding the game and following patterns effectively.
  • As a user, I want the AI to render prediction details, including the decoding method used for better understanding of the prediction process.
  • As a user, I want the system to provide a user-friendly interface with clear visual indicators for predictions and results.
Page 2 of 4

4. User Personas

  • Gamer: Interested in using the AI for accurate game predictions.
  • Data Analyst: Analyzes prediction patterns and outcomes for insights.
  • Developer: Maintains and updates the AI system for optimal performance.

5. Core User Flows

  1. New Prediction Flow:

    • User initiates a scan for predictions.
    • AI fetches the last 10 results and generates formulas.
    • AI backtests formulas and detects patterns.
    • AI provides a prediction with confidence score.
    • User views prediction and confidence level.
  2. History and Pattern Analysis:

    • User navigates to the history tab.
    • User reviews past predictions and outcomes, ensuring no consecutive losses.
    • User analyzes detected patterns and their effectiveness.

6. Visuals Colors and Theme

  • Background: Dark theme with neon accents.
  • Primary Colors: Neon purple, neon blue, gold, green, red.
  • Font: 'Space Grotesk', sans-serif; 'JetBrains Mono', monospace.
Page 3 of 4

7. Signature Design Concept

  • Modern and sleek design with a focus on clarity and ease of use.
  • Use of animations and transitions to enhance user interaction.

8. Interaction Model & Motion Direction

  • Smooth scrolling and transitions.
  • Interactive elements with hover and click animations.

9. Non-Functional Requirements

  • The system must handle API requests efficiently and fall back to cached data if necessary.
  • The system should provide real-time updates and feedback to the user.
  • The system must ensure data integrity and accuracy in predictions.

10. Tech Stack

  • Frontend: React.js
  • Backend: Python + FastAPI
  • Database: MySQL with Alembic migrations

11. Assumptions and Constraints

  • The system assumes a stable internet connection for API data fetching.
  • The system is constrained by the accuracy of the input data and the effectiveness of the AI algorithms.
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12. Glossary

  • AI: Artificial Intelligence
  • API: Application Programming Interface
  • MOD: Modulo operation
  • XOR: Exclusive OR operation
  • CRC: Cyclic Redundancy Check
  • UI: User Interface
Landing design preview
Landing: View Info
Dashboard: View Live Results
History: View Prediction History
History: Analyze Patterns
History: Review Outcomes
Dashboard: View Decoding Method
History: Track Pattern Effectiveness
History: Verify No Consecutive Loss