🛠️ End‑to‑End Tutorial Build an AI‑powered crypto‑price‑prediction service that logs every prediction on‑chain You’ll end up with: Component Tech Stack What it does Data ingestion Python + CoinGecko API Pulls historic OHLCV data Model TensorFlow (LSTM) Trains a short‑term price‑forecast model API FastAPI Serves and endpoints Smart contract Solidity (Ethereum) Stores each prediction (timestamp, price) in an immutable ledger Front‑end React + Vite Shows the latest prediction & lets users submit their own Deployment Docker Compose (local) → AWS ECS / GCP Cloud Run (optional) One‑click spin‑up of the whole stack 1️⃣ Prerequisites Category Required Programming Python ≥ 3.10, JavaScript/TypeScript, basic Solidity Tools Git, Docker ≥ 20.10, Node ≥ 18, npm ≥ 9, VS Code (or any IDE) Accounts Free Infura or Alchemy project (Ethereum RPC), Etherscan API key (optional) Crypto Testnet ETH (e.g., Sepolia) – get via a faucet Knowledge 1‑line basics of REST, LSTM, smart contracts, and Docker Tip: If you’re new to any of these, skim the official “Getting Started” docs first – the tutorial works even if you only know the basics. 2️⃣ Project Layout We’ll fill each folder step‑by‑step. 3️⃣ Step‑by‑Step Implementation 3.1 Set up the repository Create a Python virtual environment (optional – Docker will handle it later): 3.2 Backend – Data, Model, API 3.2.1 Install Python dependencies Create : 3.2.2 Pull historic price data Create : Explanation – CoinGecko’s free tier gives us 90‑day daily candles without any API key.
The function merges volume data to give a full OHLCV dataset. 3.2.3 Build a simple LSTM model Create : Why LSTM?
It captures temporal dependencies in price series with few parameters—perfect for a demo. 3.2.4 FastAPI server Create : Explanation – grabs the most recent 30 days, scales them, feeds to the LSTM, then de‑scales the predicted close price. is a convenience for local testing; in production you’d protect it with an API key or CI pipeline. 3.2.5 Dockerize the backend Create : Why multi‑stage?
Keeps the final image tiny (~70 MB) – perfect for serverless containers. 3.3 Smart Contract – Log Predictions On‑Chain 3.3.1 Solidity contract Create : Design notes We store price as an integer with 2 decimal places ().
Solidity has no floating‑point numbers. is payable‑free – anyone can call it, but you could add an or a small fee later. 3.3.2 Hardhat setup (deployment script) Add in : Update : Create : Deploy to Sepolia: 3.3.3 ABI export After compilation, the ABI is in .
Copy the array into the backend folder: Rename it to for clarity. 3.4 Connect FastAPI to the Contract Add to the backend (already in ).
Create :