Backend Infrastructure

The backend infrastructure of Auralex AI is designed to provide seamless data aggregation, robust analytics, and real-time insights to users. Below, we outline the key components and processes that form the foundation of our platform.

1. Data Aggregation and Integration

• Blockchain API Connectivity: Secure APIs fetch data from multiple blockchain networks, starting with major chains like Ethereum, BNB Chain, and Polygon.

• Data Normalization: Aggregated data is standardized into a unified format to ensure consistency across chains.

• Real-Time Sync: Continuous data synchronization ensures the platform remains up-to-date with the latest token metrics and blockchain activities.

2. Token and Metrics Database

• Token Registry: A centralized database stores information about tokens, categorized by blockchain and attributes.

• Metrics Storage: Historical and real-time metrics, such as market cap, price, volume, and trends, are indexed for fast retrieval.

• Scalability: The database is built on scalable cloud infrastructure to handle large volumes of data without latency.

3. Analytics Engine

• Pattern Detection Algorithms: Proprietary algorithms analyze token performance to identify trends, such as pump-and-dump schemes or whale movements.

• Technical Analysis Tools: Indicators like RSI, MACD, and moving averages are calculated and made available for charting and insights.

• Machine Learning Models: Predictive models are trained to forecast token price movements and assess market sentiment.

4. AI and Search Functionality

• Conversational AI: The backend integrates AI models to answer user queries about tokens, trends, and analytics in real-time.

• Advanced Filtering Engine: Users can filter tokens based on multiple parameters, including chain type, market cap, and liquidity.

• Sentiment Analysis: Social media and news data are processed to provide real-time sentiment scores for tokens.

5. Security and Compliance

• Data Encryption: All data exchanges are encrypted using industry-standard protocols.

• Role-Based Access Control: Backend processes ensure that sensitive data is accessed only by authorized users.

• Regulatory Compliance: Adheres to global data privacy standards like GDPR.

6. User Interaction Layer

• APIs for Frontend Integration: The backend provides RESTful APIs to enable seamless communication with the user interface.

• Real-Time Notifications: Webhooks and push notifications alert users to significant market events or changes in token metrics.

7. Monitoring and Optimization

• Performance Monitoring: Backend operations are continuously monitored to ensure uptime and scalability.

• Error Handling and Logging: Robust logging systems detect and resolve errors in real-time, minimizing user disruptions.

Backend Workflow

1. Data Collection

   • APIs fetch raw data from multiple blockchains.

2. Data Processing

   • Standardization: Raw data is cleaned and normalized.

   • Indexing: Token data and metrics are stored in databases.

3. Analytics

   • Machine learning models analyze patterns and trends.

   • Metrics calculations and sentiment analysis are performed.

4. User Query Processing

   • User queries are routed to the backend.

   • Conversational AI and advanced filters generate tailored responses.

5. Results Delivery

   • Processed insights are delivered to the frontend via APIs.

   • Notifications and alerts are triggered as needed.