juan camilo Marmolejo's repositories

CryptocurrenciesAnalysis

This project aims to gather data on the top 10 best cryptocurrencies from the Coinmarket API and perform data cleaning and analysis using Python. The cleaned data is then saved as a CSV file, and an email is sent with the CSV file as an attachment to a specified recipient. Finally, a visually appealing dashboard is created using Power BI to provide

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portfolio

This portfolio serves as a snapshot of my journey in the world of web development, highlighting my expertise in creating modern and responsive web applications.

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ShoeStoreInventory

Application build with JavaFX-FXML for the front-end and Oracle DataBase for the back-end. Project for updating shoe store inventory adding new stock or deleting stock from the database.

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ToDoList-Client

Front-End from my To Do List full stack web application, with authentication from firebase. Using Next.js for the Client Side in a MERN system

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ToDoList-Server

Server from my project ToDoList with authentication from FireBase, using for the server Express.js - Node.js and for the DataBase MongoDB.It is a own project for my portafolio, fullstack web app with MERN

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WebScrapingPlayStationPrice

This Python application scrapes the price of the PlayStation from the Amazon website every day. If the price is lower than $700, it sends you an email notification. It also creates and edits a CSV file to store the price information.

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Meal-Mastermind

Welcome to the Meal Planner Application! Our platform is designed to simplify meal planning, helping users manage their diets, save time, and make healthier choices. Powered by our own AI model, the application suggests personalized recipes based on user preferences and dietary requirements.

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Meal-Mastermind-AIModel

This repository is dedicated to the AI component of the Meal Planner Application, a powerful tool aimed at enhancing the meal planning process. Our service leverages a K-Nearest Neighbors (KNN) algorithm, implemented using Scikit-learn, to offer personalized recipe recommendations.

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