🛠️Tech Breakdown

How We EavesDrop: Technical Breakdown

EaveAI uses advanced technology to provide timely and precise insights from Crypto X Spaces. Let’s explore the technologies and processes that make the EaveAI MVP possible:

1. Twitter API Integration

EaveAI utilizes the Twitter API to continuously monitor and interact with selected influential Spaces. This connection ensures that EaveAI remains at the forefront of Web3 conversations, capturing live discussions the moment they take place.

2. Robust Backend System

Our backend is designed for high resilience and scalability, capable of managing large volumes of data and complex processing tasks efficiently. This system underpins all data handling and analysis, ensuring dependable performance.

3. Advanced Audio Processing and AI Intelligence

EaveAI employs a comprehensive suite of AI-driven audio processing technologies to extract actionable insights:

• Task-Specific Language Models (TSML): These models are optimized for superior performance in audio analysis tasks.

• Named Entity Detection: Pinpoints and classifies essential entities within conversations, such as cryptocurrencies, projects, or influencers.

• Intent Recognition: Identifies the underlying purposes of discussions to spotlight significant insights.

• Sentiment Analysis: Evaluates the emotional tone of discussions to gauge market or community sentiment.

• Topic Detection: Automatically recognizes and sorts the primary topics of conversation.

• Speaker Diarization: Determines which speakers are talking, crucial for contextual understanding.

4. Project Database and Web Crawling

To enrich the content of EaveAI recaps and enhance Named Entity Recognition (NER) capabilities, we have developed a dynamic project database. This database grows continuously through web crawling, which automatically identifies and integrates new Web3 projects and related data. This ensures that our AI models are always informed with the latest information, enhancing the accuracy and relevance of the insights provided.

5. Abstractive Summarization

EaveAI employs finely tuned AI models to generate succinct, abstractive summaries of each Space. These summaries distill complex discussions into accessible updates, capturing key points without losing vital information.

6. Distribution Mechanisms

Insights and summaries are distributed via:

• Public Channels: Broadly accessible platforms where summaries and insights are shared with the larger community.

• Personal Channels: Custom feeds that deliver tailored content directly to individual users, based on their specific interests in hosts or topics.

As we move on through the roadmap and roll out more functions our tech breakdown will get updated. Current Update is as of: 06-06-2024, whilst MVP is still in team & advisors testing phase