Blockchain Account Manager

Understand your on‑chain risk, not just your balance.

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Inspiration

Many new crypto users can see their wallet balance, but they do not really understand their risk. They trade based on fear or hype, and they can lose money very fast. I wanted to build a simple tool that shows your on-chain data and gives clear, human language hints about risk, so beginners can slow down and think before they trade.

What it does

Blockchain Account Manager connects to an EVM wallet and shows your assets, recent transactions, and a live price chart in one clean dashboard. You can enter a limit order price and amount, and the app uses AI to generate a short “risk coach” message and a simple risk level (for example low / medium / high). The goal is not to predict the market, but to help users see if they are taking a big or small risk compared to their portfolio.

How we built it

The frontend is built with HTML, CSS, and vanilla JavaScript. We use ethers.js to connect to EVM-compatible wallets and to read balances and transactions from the blockchain. For the AI part, we run a small Node.js and Express server that takes order and wallet context and sends it to an LLM API, then returns a short text response to the frontend. Lightweight Charts is used to render the price chart and keep the UI fast.

Challenges we ran into

Connecting on-chain data, the price chart, and the AI responses in a smooth way was a challenge. We had to be careful with how we format the data we send to the AI so that the answers stay short, clear, and safe for beginners. Designing a UX that feels simple, but still shows enough information for a serious decision, also took some iteration.

Accomplishments that we're proud of

We are proud that the whole flow works end-to-end: connect a wallet, see real assets and transactions, simulate an order, and instantly get AI risk feedback. The app feels light and clean, but still uses modern tools like on-chain data, charts, and LLMs behind the scenes. We are also happy that the project focuses on user protection and education, not just speculation.

What we learned

We learned how to combine web3 tooling (ethers.js) with a classic web frontend and an AI backend in one small project. We saw how important it is to design prompts and data formats so that AI outputs stay practical and not too long. We also learned that good UX and clear language are just as important as code when you try to help beginners in a complex space like crypto.

What's next for Blockchain Account Manager

Next, we want to add more networks and asset types, plus deeper analytics like diversification, drawdown, and position history. We also plan to integrate real on-chain and social sentiment signals, and turn the AI coach into a more personal guide with different profiles for very cautious or more advanced users. In the long term, we want Blockchain Account Manager to be a friendly “first screen” for new investors when they open their wallet, helping them trade with more clarity and less regret.

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