Advanced Ai-Driven Twitter Bot for Cryptocurrency Trends, Content Creation, and Engagement with Self-Learning Capabilities

I am seeking a highly skilled developer to create an AI-powered Twitter bot specifically designed for the cryptocurrency niche. The bot should leverage cutting-edge machine learning to function autonomously, continuously improving itself without human intervention. Below are the detailed requirements:

Core Features:
Trend Analysis:

Monitor and analyze trending topics in the cryptocurrency market (both in English and Portuguese).
Extract relevant insights from influential crypto accounts using Twitter's API or web scraping.
Detect and prioritize topics based on engagement potential and market relevance.
Content Creation:

Generate high-quality, original tweets in English and Portuguese using advanced language models (e.g., ChatGPT API or similar).
Adapt content tone and style to match industry-leading influencers while maintaining a unique identity.
Automatically include trending hashtags, links, and visuals when applicable.
Engagement Automation:

Automatically reply to mentions, direct messages, and relevant tweets in real-time with meaningful and contextual responses.
Proactively engage with popular crypto tweets, adding valuable insights to increase visibility.
Handle multiple threads of interaction seamlessly without requiring manual oversight.
Advanced Machine Learning (AI Agent):

Develop a self-learning AI system capable of analyzing its performance and adapting to improve over time.
Use reinforcement learning or similar techniques to optimize tweet generation, engagement strategies, and response quality.
Continuously learn from successful tweets (based on likes, retweets, and replies) to refine content and behavior.
Automation & Scalability:

Fully automate scheduling and posting tweets at optimal times.
Operate independently with minimal manual configuration.
Provide periodic performance reports, including engagement statistics and content evolution.
Technical Requirements:
API Integration:

Twitter API for posting, retrieving, and monitoring tweets.
External APIs (e.g., CoinGecko, Binance) to fetch live cryptocurrency data for real-time insights.
Machine Learning Frameworks:

Use advanced frameworks like TensorFlow, PyTorch, or Hugging Face Transformers for NLP and self-learning capabilities.
Implement unsupervised and reinforcement learning to enable the bot to adapt and improve autonomously.
Database and Infrastructure:

Use a database (MySQL, PostgreSQL, MongoDB, or equivalent) for data storage and analysis.
Ensure the bot is scalable and capable of handling high volumes of interactions.
Multilingual Support:

Support for both English and Portuguese content generation and trend analysis.
Deployment:

The bot must run continuously with minimal downtime.
Optionally deploy to a cloud platform (e.g., AWS, Google Cloud, Azure) for reliability and scalability.
Deliverables:
Fully functional, autonomous AI bot with all features implemented.
Detailed documentation for setup, deployment, and usage.
Regular performance metrics reports (frequency to be discussed).
Codebase with comments and modular design for future improvements.
Desired Qualifications:
Expertise in ai and machine learning, particularly nlp and autonomous systems.
Strong experience with Python (Tweepy, Requests, Pandas, etc.).
Knowledge of cryptocurrency markets and trends.
Proven track record of building automation systems for social media.
Experience with cloud deployment and scalable architectures.

Additional Notes:
This project demands a developer who can build an AI agent that learns and evolves independently, without requiring human oversight or constant adjustments. The system should behave as a truly autonomous entity, capable of adapting to new trends and refining its strategies based on performance metrics.

If you have experience in similar projects or ideas to enhance the bot's capabilities further, please include them in your proposal. Looking forward to working with a top-tier developer on this exciting project!

This version highlights the need for advanced machine learning capabilities and stresses the autonomous nature of the AI bot.