> For the complete documentation index, see [llms.txt](https://hugo-4.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hugo-4.gitbook.io/whitepaper/foma-ai/publish-your-docs-1.md).

# Main pillars

### **1. Meme Analysis**

Leveraging the cultural impact of memes, FOMA AI dissects trends to provide unique insights.

### **2. Comprehensive Data Analysis**

Examines tokenomics, smart contracts, team credentials, and other undisclosed factors to score tokens.

### **3. Predictive Modeling**

Uses historical data and market conditions to predict potential project outcomes.

### 4. Data Sources

News, token launch calendars, social metrics, and undisclosed proprietary data.

Algorithm: A blend of machine learning models, focusing on both quantitative and qualitative analysis.

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