Inspiration Many new investors trade crypto without understanding basic ideas like risk, position size, and concentration. They see prices and charts, but not how one order can affect their whole portfolio. I wanted to build a tool that uses their real wallet data plus AI to teach risk awareness in simple language.

What it does

Blockchain Account Manager connects to an EVM wallet and shows a clean dashboard with assets, recent transactions, and a price chart. When the user enters a potential order (price and amount), an AI “risk coach” explains if the trade looks low, medium, or high risk for their portfolio. It turns a normal wallet view into a small, interactive financial literacy tool.

How we built it

We built the frontend with HTML, CSS, and vanilla JavaScript for speed and simplicity. ethers.js is used to connect to EVM-compatible wallets and read balances and transactions from the blockchain. A Node.js + Express backend works as an AI proxy: it prepares order and wallet context, sends it to an LLM API, and returns short, focused risk messages to the client. Lightweight Charts renders the price chart so users can see market context at a glance.

Challenges we ran into

A key challenge was choosing which financial signals to show without overloading beginners. We had to design prompts so the AI responses stayed short, clear, and non‑speculative. We also needed to keep the UX simple while combining blockchain data, charts, and AI in one screen.

Accomplishments that we're proud of

We are proud that the app works end‑to‑end: connect a real wallet, see on‑chain assets and history, simulate an order, and instantly get AI risk feedback. It adds real educational value on top of a normal crypto experience, without asking the user to learn a complex new platform. We also like that the architecture is small but production‑oriented and ready to extend.

What we learned

We learned how to translate financial and economic concepts into language that normal users can understand. We saw that combining live wallet data with AI is a powerful way to teach financial literacy at the exact moment of decision. On the technical side, we learned how to structure a simple, scalable stack that connects web3 tools with an AI backend.

What's next for Blockchain Account Manager

Next, we want to add more metrics like diversification, concentration by asset, and risk trends over time. We also plan to offer different “profiles” for very cautious vs. more advanced users, and explore integrations with exchanges or fintech apps as an embedded risk widget. Long term, we want Blockchain Account Manager to be the first screen people open to check not only “how much do I have?” but also “how much risk am I taking?”.

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