The aim of this project is to build a terminal-based backend system for online store using Python and MangoDB.

A data pipeline with Docker to perform Sentiment Analysis on tweets and post it on a slack channel via a bot

🎞️ MangoDB tutorial from youtube

Ce projet permet de scraper des annonces d'appartements à partir d'un site web spécifique, de collecter les informations pertinentes sur chaque annonce (titre, prix, localisation, lien, image, date de scraping), et de les sauvegarder dans une base de données MongoDB pour un usage ultérieur.

build a Dockerized Data Pipeline that analyzes the sentiment of tweets.

This project is a Django REST API application that manages Todos and Categories. It provides endpoints for creating, listing, updating, and deleting Todos and Categories. The project uses Django, Django REST framework, and PostgreSQL.

Its a web application which predicts future sales using sarimax algorithm when we upload a csv file. I have used Angular for Frontend , Flask for Backend and MangoDB for database connections

This app fetch the data from the youtube for analysis the channel information and upload it into the mysql database

Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.

To Do List to explore the Python-Django framework

This project demonstrates the converting mp4 videos to mp3 in a microservices architecture.

Scripts/C program used to solve SANS KringleCon Holiday Hack Challenge

A Django application that classify sended pictures with TensorFlow and store them with MangoDB