12 projects categorized with "FastAPI"
- Python FastAPI with JWT Auth serving House Price Predicting using Deep Learning with the Ames Housing Dataset (v8)
26-May-2026Python 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 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 Vue SPA at GitHub - Python FastAPI with JWT Auth serving ML Inference API solving the XOR Problem by PyTorch
25-May-2026Python FastAPI with JWT Auth serving a PyTorch-trained MLP model exported to ONNX with strict XOR input validation - hosted at Vercel Cloud using Serverless Functions
A Starter FastAPI + JWT Auth + Deep Learning to solve the XOR Problem + 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 - Python FastAPI with JWT Auth serving House Price Predicting using Classic Machine Learning with the Ames Housing Datase (v7)
06-May-2026Python FastAPI with JWT Auth prediction House Prices using Linear Regression (v7) - hosted at Vercel Cloud using Serverless Functions
This version is using the Ames Housing Dataset predicting houce prices by a model trained by Linear Regression exported to ONNX format ready for running at various platforms
A Starter FastAPI + JWT Auth + ML + Linear Regression + 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 GitHub - Python FastAPI with JWT Auth serving ML Inference API predicting house prices using Ames Dataset and PyTorch (v6)
05-May-2026Python 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 GitHub - Python FastAPI with JWT Auth serving ML Inference API predicting house prices using PyTorch (v5)
03-May-2026Python 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 GitHub - Python FastAPI with JWT Auth predicting house prices by Machine Learning using Linear Regression (v4)
22-April-2026Python 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 GitHub - Python FastAPI with JWT Auth predicting house prices by Machine Learning using Linear Regression and logs Predictions by PostgreSQL (v3)
20-April-2026Python 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 GitHub - Python FastAPI with JWT Auth predicting house prices by Machine Learning using Linear Regression (v2)
19-April-2026Python 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 - Python FastAPI with JWT Auth predicting house prices by Machine Learning using Linear Regression (v1)
18-April-2026Python FastAPI with JWT Auth serving a simple Machine Learning Application Predicting House Prices using Linear Regression (v1) - hosted at Vercel Cloud using Serverless Functions
This version predict the house price by size and number of rooms 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 - Python FastAPI with JWT Auth serving an AI Agent
15-April-2026Python FastAPI with JWT Auth serving an AI Agent by Groq and Langchain - hosted at Vercel Cloud using Serverless Functions
A Starter FastAPI + JWT Auth + AI Agent + Groq + LLM + Langchain + 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 - Python FastAPI with JWT Auth serving RAG by fake Embeddings (v1)
15-April-2026Python FastAPI with JWT Auth serving a RAG Application using Groq + fake embeddings (v1) - hosted at Vercel Cloud using Serverless Functions
A Starter FastAPI + JWT Auth + Retrieval-Augmented Generation (RAG) by Groq LLM + fake embeddings + OpenAPI / Swagger - secured by HTTPS
A PostgreSQL database was used with the pgvector extension
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 - Python FastAPI with JWT Auth serving RAG by Hugging Face embeddings (v2)
15-April-2026Python FastAPI with JWT Auth serving a RAG Application using Groq + Hugging Face embeddings (v2) - hosted at Vercel Cloud using Serverless Functions
A Starter FastAPI + JWT Auth + Retrieval-Augmented Generation (RAG) by Groq LLM + Real embeddings by Hugging Face model + OpenAPI / Swagger - secured by HTTPS
A PostgreSQL database was used with the pgvector extension
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