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Python FastAPI with JWT Auth serving House Price Predicting using Deep Learning with the Ames Housing Dataset (v8)

26-May-2026

Python FastAPI with JWT Auth predicting House Prices using PyTorch and focusing on Tests (v8) - hosted at Vercel Cloud using Serverless Functions

This version is using the Ames Housing Dataset predicting houce prices by a PyTorch-trained MLP model exported to ONNX format ready for running at various platforms and focusing of different kinds of Tests and a Vue 3 SPA

Try the demo by OpenAPI...

Try the demo by a Vue 3 SPA...

A Starter FastAPI + JWT Auth + Deep Learning + Tests + ONNX + House Price Predicting + Ames Housing Dataset + OpenAPI / Swagger + Vue SPA - secured by HTTPS

During the development process, I used ChatGPT for assisting with code generation and Github Copilot for code inline suggestion

DevOps by VS Code + GitHub + Vercel Cloud

The Web API at GitHub

The Vue SPA at GitHub

AI - Machine Learning - Deep Learning - RAG