Aurora Docs
  • Executive Summary
    • Introduction
    • Key features
  • AURORA ASSET MECHANISM
    • How to participate?
    • Scoring and allocation mechanism
    • Scoring system
    • Why are we doing this?
  • AURORA ASSET DISTRIBUTION MECHANISM
    • Tokenomics
    • Payment and distribution process
  • ROADMAP
    • Basic data tracking function
    • Ecological project tracking and improvement
    • Smart address analysis
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  1. ROADMAP

Ecological project tracking and improvement

Ecological project tracking and improvement

Aurora AI will establish a comprehensive database encompassing all ecosystem projects within the Spark network, including but not limited to:

Continuous Project Tracking

  • Project Lifecycle Monitoring: Real-time tracking of project development stages from conception to maturity

  • Milestone Achievement Tracking: Progress monitoring against stated roadmaps and development goals

  • Performance Metrics: Ongoing assessment of technical performance, user adoption, and market reception

  • Risk Assessment: Continuous evaluation of project sustainability and potential challenges

New Project Discovery and Analysis

  • Emerging Project Identification: Early detection of new projects launching within the Spark ecosystem

  • Project Categorization: Classification of new projects by sector, technology stack, and market focus

  • Initial Assessment: Preliminary evaluation of project viability, team credentials, and technical merit

  • Derivative Project Mapping: Tracking of projects that fork, build upon, or integrate with existing ecosystem projects

  • Innovation Tracking: Identification of novel approaches and breakthrough technologies

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Last updated 11 days ago