💻Challenge 1: High Computational Demand

Challenge Description

AI-driven analysis of Ethereum blockchain data, particularly at the scale required for real-time, comprehensive wallet categorization, demands substantial computational resources. The intensive nature of data processing, model training, and inference tasks could limit scalability and responsiveness.

Solution: Leveraging Bittensor

TensorScan AI utilizes the decentralized computing power provided by the Bittensor network, effectively distributing the computational load across a global network of nodes. This not only mitigates the issue of computational bottlenecks but also aligns with the decentralized ethos of blockchain technology, ensuring a scalable and efficient solution.