🧠 Build and manage K2Think AI model proxy services with an OpenAI-compatible API, featuring smart token management and high-performance capabilities.

Este projeto trata-se de um sistema gerador de relatórios de estoque. A aplicação é capaz de ler esses arquivos, importar os dados de forma estruturada e gerar relatórios que resumem as informações contidas no estoque.

This project demonstrates basic data manipulation tasks using Python and Pandas. It covers CSV and JSON file handling, dataset analysis from Kaggle, filtering data, handling missing values, and importing/exporting Excel files.

ONE-TO-ONE Bank is a secure, Streamlit-based app for managing accounts with create, deposit, withdraw, update, and delete features using JSON.

AirBnB Clone v3 - RESTful API is a Python and Flask-based implementation of a RESTful API for managing property rental resources, emphasizing CRUD operations and API development principles.

Tesla News Articles is a PHP application that retrieves and displays news articles about Tesla using the NewsAPI. It fetches recent articles, processes the data, and presents it in a user-friendly format on a webpage.

This Flask application enhances the dog photo gallery by allowing users to select from over 100 breeds via a drop-down menu, displaying 30 photos of the chosen breed. With dynamic breed selection and data routing using GET and POST methods, you’ll be able to create a fully functioning dog photo gallery. Get ready for some furry fun!

AI-powered tool for handling requests, simplifying workflows and automating tasks... Created at https://coslynx.com

Command-line tool to fetch and display a GitHub user's recent activity using the GitHub API. This lightweight Go-based CLI helps you track contributions, issues, and other actions for any GitHub user.

Develop an AI application for classifying flower species using deep learning, featuring data preprocessing, model training, and inference capabilities.

This project focuses on analyzing student grades using a dataset stored in JSON format. The dataset includes student IDs, class IDs, and different types of scores (exam, quiz, and homework). The objective is to extract, clean, and analyze the data using Python, Pandas, and Matplotlib/Seaborn for visualization.

🔗 Connect K2 systems to APIs seamlessly, enhancing data integration and workflow efficiency for improved insights and decision-making.