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Python FastAPI with JWT Auth serving ML Inference API predicting house prices using Ames Dataset and PyTorch (v6)
05-May-2026
- Python
- FastAPI
- DevOps
- Vercel
- REST API
- AI
- Machine Learning (ML)
- Deep Learning
- ONNX
- House Price Predicting
- PyTorch
Python FastAPI with JWT Auth predicting House Prices (v6) - 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
A Starter FastAPI + JWT Auth + Deep Learning + ONNX + House Price Predicting + Ames Housing Dataset + OpenAPI / Swagger - 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 GitHubPython FastAPI with JWT Auth serving ML Inference API predicting house prices using PyTorch (v5)
03-May-2026
- Python
- FastAPI
- DevOps
- Vercel
- REST API
- AI
- Machine Learning (ML)
- Deep Learning
- ONNX
- House Price Predicting
- PyTorch
Python FastAPI with JWT Auth predicting House Prices (v5) - hosted at Vercel Cloud using Serverless Functions
This version is using a synthetic generated Dataset predicting houce prices by a PyTorch-trained MLP model exported to ONNX format ready for running at various platforms
A Starter FastAPI + JWT Auth + Deep Learning + ONNX + House Price Predicting + OpenAPI / Swagger - 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 GitHubPython FastAPI with JWT Auth predicting house prices by Machine Learning using Linear Regression (v4)
22-April-2026
Python FastAPI with JWT Auth serving a Machine Learning Application using Linear Regression and ONNX Predicting House Prices (v4) - hosted at Vercel Cloud using Serverless Functions
This version predict the house price by size, number of rooms, year built, location and condition and saves the model in ONNX. This format is great for Vercel Serverless as well as other platforms
A Starter FastAPI + JWT Auth + ML + Linear Regression + ONNX + Predicting house prices + OpenAPI / Swagger - 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 GitHubPython FastAPI with JWT Auth predicting house prices by Machine Learning using Linear Regression and logs Predictions by PostgreSQL (v3)
20-April-2026
Python FastAPI with JWT Auth using PostgreSQL serving a Machine Learning Application Predicting House Prices using Linear Regression (v3) - hosted at Vercel Cloud using Serverless Functions
This version predict the house price by size, number of rooms, year built, location and condition and saves the model in pkl. In this version the predictions are saved in a PostgreSQL database hosted at Neon
A Starter FastAPI + JWT Auth + PostgreSQL + ML + Linear Regression + Predicting house prices + OpenAPI / Swagger - 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 GitHubPython FastAPI with JWT Auth predicting house prices by Machine Learning using Linear Regression (v2)
19-April-2026
Python FastAPI with JWT Auth serving a Machine Learning Application Predicting House Prices using Linear Regression (v2) - hosted at Vercel Cloud using Serverless Functions
This version predict the house price by size, number of rooms, year built, location and condition and saves the model in pkl
A Starter FastAPI + JWT Auth + ML + Linear Regression + Predicting house prices + OpenAPI / Swagger - 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