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CryptoHack-AI


CryptoHack-AI Small

Overview

CryptoHack-AI is an AI-powered assistant designed to help generate innovative ideas for cryptocurrency and AI projects. From brainstorming tokenomics and decentralized applications to identifying AI-based solutions for real-world problems, CryptoHack-AI ensures you have all the inspiration and guidance needed to kickstart your projects.

Technologies Used

  • Model: CryptoHack-AI Model
  • Training Environment: Google Colab
  • Database: Supabase with PostgreSQL
  • Hosting: Hugging Face Spaces / Vercel
  • Other Tools: React, Next.js, Pytorch, etc.

How It Works

Data Collection 📊

The data used for CryptoHack-AI was gathered from diverse online sources such as:

  • Blockchain and cryptocurrency whitepapers
  • AI and tech innovation blogs
  • Research papers and forums

This foundational dataset provides a starting point for generating creative ideas, and future iterations will incorporate larger datasets for even broader coverage and better suggestions.

Model Training 🧠

The AI model behind CryptoHack-AI was built using GPT-2 as the base model, fine-tuned for idea generation in the crypto and AI domains.

Training Process:

  1. Platform: The training was conducted on Google Colab, utilizing its GPU acceleration to efficiently fine-tune the model.
  2. Dataset Preparation: The collected data was cleaned, structured, and formatted to suit GPT-2's input requirements.
  3. Fine-Tuning: Using Hugging Face’s Transformers library, the model was customized to focus on generating actionable ideas and strategies for crypto and AI projects.
  4. Evaluation: Initial results are promising, but there’s room to refine the dataset and enhance the model for better context understanding.

Deployment 🚀

The trained model was deployed using:

  • Hugging Face Spaces: Hosting the model on Hugging Face Spaces makes it accessible via API for seamless integration into the application.
  • Vercel: The app frontend is deployed on Vercel, ensuring optimal performance and scalability for end-users.

The deployment combines the AI model with an intuitive UI, enabling users to quickly interact and generate ideas in real-time.

Integration 🗄️

Supabase and PostgreSQL were utilized as the backend infrastructure to handle data storage and management:

  • Supabase:

    • Provides a backend-as-a-service (BaaS) platform.
    • Enables real-time data handling and user authentication.

  • PostgreSQL:

    • Stores user queries, project ideas, and preferences for future reference.
    • Ensures secure and efficient data management for personalized experiences.

Together, these technologies provide a robust and reliable foundation for CryptoHack-AI's functionality.