AI Crypto Wallet Assistant Development

I’m building a modern, AI-powered Wallet Assistant that demystifies on-chain activity for everyday users. The first milestone is a web or mobile MVP whose core intelligence helps people clearly understand what is happening inside their crypto wallet—transactions, token movements, fees, and counter-parties—without jargon.

Primary focus
The assistant must translate raw blockchain data into plain-language insights so beginners instantly grasp their wallet activity and feel confident managing assets.

Additional functionality to weave in from the outset:
• Automated monitoring – real-time tracking of balance changes and notable events
• Risk awareness – surface suspicious contracts, abnormal gas spikes, or phishing patterns before users interact
• Transaction categorization – group transfers (e.g., swaps, NFT mints, staking rewards) so reports make sense at a glance

Key expectations for the first release
• A lightweight front end (React, Flutter, or similar) that connects to MetaMask and other EVM wallets via Web3/ethers.js and streams data to the assistant
• Back-end logic (Python, Node, or Rust) that pulls on-chain information, enriches it with AI/NLP models, and returns summarized insights in conversational form
• Security best practices: non-custodial design, no private-key exposure, rate-limited APIs, unit and integration tests
• Clear documentation covering architecture, model selection, and how to extend features in future sprints

When you reply, emphasise your direct experience building blockchain analytics tools, conversational AI, or secure Web3 applications. Links to shipped products or open-source contributions will help me gauge fit quickly.

Budget framework: Maximum $200K
Expected timeline: 20 weeks