Development Timeline

January 2025 - Phase 1: Technical Architecture Design and Development

Objective: Build foundational technical architecture including blockchain, smart contracts, AI systems, data collection and processing workflows.

  • Design airdrop system blockchain architecture, select suitable public chains (e.g., Ethereum, BSC)
  • Develop smart contracts for airdrop distribution logic and verification mechanisms
  • Build AI system foundation framework for data input/output processing
  • Design security mechanisms to ensure data and fund safety

February 2025 - Phase 2: AI Model Training and Optimization

Objective: Develop and train AI models to score participants' airdrop eligibility based on data.

  • Collect training data (transaction records, social media performance, etc.)
  • Develop AI algorithms for scoring and risk assessment (ML, NLP, image recognition)
  • Fine-tune AI models to ensure fair, just, and accurate scoring results
  • Test AI model effectiveness and optimize algorithms for improved prediction accuracy

March 2025 - Phase 3: User Interface and Experience Design

Objective: Build user-friendly interface for easy airdrop participation and score checking.

  • Design frontend interface for user registration, wallet submission, and rule viewing
  • Integrate AI scoring system for personal score visibility after data submission
  • Implement feedback mechanisms for score criteria review and optimization suggestions
  • Ensure intuitive, smooth interface design for enhanced user experience

April 2025 - Phase 4: Airdrop Activity Testing and Optimization

Objective: Conduct internal testing and limited public beta, collect feedback and optimize processes.

  • Internal testing: Small-scale airdrop tests to verify smart contracts and AI model scoring
  • User feedback: Real user participation to evaluate scoring accuracy and user experience
  • Bug fixes and process optimization for system stability and efficiency
  • Adjust airdrop rules, optimize AI models, improve UI based on feedback

May 2025 - Phase 5: AI Automated Airdrop Farming (Full Automation)

Objective: Achieve full automation of airdrop distribution through AI, including user scoring, eligibility verification, and execution.

  • Automatic user screening and airdrop execution based on AI scoring and behavior analysis
  • AI algorithm optimization to ensure automated processes comply with all airdrop rules
  • Implementation of anti-fraud mechanisms for AI system and automation process security
  • Enhanced system monitoring and logging for transparency and traceability

Ongoing Considerations

  • Compliance & Legal: Ensure adherence to regulations across different jurisdictions
  • Risk Control: Implement measures against scoring errors, vulnerabilities, and system abuse