Optilensai
  • Introduction
  • Overview
  • Problem Statement
  • Vision and Mission
  • The Ecosystem
    • Key Components
      • DAO Governance
      • AI Integration
    • Core Principles
  • HOW IT WORKS
    • Workflow and Interactions
    • NFT Minitng and Ownership
    • DAO Governance Mechanism
    • AI's Role in the Ecosystem
  • USE CASES
    • Funding Research Projects
    • Licensing Data and Findings
    • Community-Driven Innovations
  • TECHNICAL ARCHITECTURE
    • Blockchain and Smart Contracts
    • NFT Standards (ERC-721, ERC-1155)
    • DAO Framework (e.g., Snapshot, Aragon)
    • AI Technology Stack
  • TOKENOMICS
    • Token Detail and Distribution
    • Token Utility
    • Supply Management
  • ROADMAP
    • Q1 2025 : Foundation and Launch
    • Q2–Q4 2025: Ecosystem Expansion and Scaling
    • 2026 and Beyond: Sustainability and Autonomy
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  1. TECHNICAL ARCHITECTURE

AI Technology Stack

AI is integral to OptiLensAI’s ecosystem, enhancing decision-making, automation, and research capabilities. The platform's AI technology stack includes:

  1. Data Analysis and Prediction:

    • TensorFlow and PyTorch: Used for building predictive models and analyzing complex datasets.

    • BigQuery: Processes large-scale data for actionable insights.

  2. Natural Language Processing (NLP):

    • OpenAI’s GPT Models: Evaluates research proposals, identifies key themes, and generates summaries for community review.

    • SpaCy: Extracts metadata from research documents for classification and indexing.

  3. AI for Proposal Ranking:

    • AI algorithms rank funding proposals based on criteria such as impact potential, feasibility, and alignment with ecosystem goals.

  4. Fraud Detection and Security:

    • Machine learning models identify suspicious activities, such as duplicate submissions or malicious actors, ensuring platform integrity.

The integration of these AI tools ensures that OptiLensAI operates intelligently, efficiently, and adaptively, aligning with its mission to decentralize and optimize scientific research.

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Last updated 3 months ago