FastAPI & PostgreSQL starter kit with Docker. Revamped backend template for modern needs.

☄️ Global response wrappers for FastAPI

My First Django Project

A web application for reading and writing film reviews | Made using the Flask web framework and a PostgreSQL database

Website Application for Erekere Travel and Tours

Library containing the core modules for the kingdom-python-server

FastAPI Scaffold is a CLI tool to quickly generate FastAPI project structures with optional features like authentication, database integration, machine learning model setup, and Docker support.

SPUK is a Static Site Generator (SSG) designed for RDF Knowledge Graphs. It transforms RDF data into a browsable, static HTML website.

RESTful API for an ecommerce website with categories, subcategories and products using flask.

Application web de gestion d’un Dossier Patient Informatisé (DPI). Permet la création, la consultation et le suivi médical complet d’un patient hospitalisé, avec interopérabilité entre les différents acteurs du personnel médical.

A Django-based web application for real-time stock tracking which uses a PostgreSQL database.

A web application for reading and writing film reviews | Made using the Flask web framework and a PostgreSQL database

Coronary-Artery-Lesion-Intelligent-Visualization-System

Backend development for club management application (Flask, SQLAlchemy)

Project used sampling/de-dup technique based on schema knowledge on HoloClean system. Goal was to reduce number of training points in order to decrease memory footprint and in same improve run-time.

A Lightweight Python Framework to create and manage web pages

Social Media API build on top of FastAPI and SQLModel. Project aims to be a complete backend to a twitter-like social network.

Django app for sharing and searching recipes.

This is a backend development attempt to recreate the 1985 Level 1 of Super Mario Bros (Version 1) !!!

Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.