Projects using Python in Capela do Alto
Projects using Python in Capela do Alto
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Harley Soncim
CargaClick1 is an experimental and development-focused version of the CargaClick platform. The main objective of this repository is to test and validate new technical approaches for the freight marketplace system, including backend architecture, API integrations, routing logic and cloud deployment strategies. While another CargaClick project exists as the main production-oriented repository, CargaClick1 focuses on prototyping, infrastructure experiments and system improvements before they are integrated into the primary platform. This project explores scalable backend structures, logistics workflow automation and integration with external services such as routing APIs and cloud infrastructure. Technologies involved include backend frameworks, containerized deployment, database design and API-driven system architecture.
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Carlos Gabriel Luz Monnazzi
Master Duel Pack Scorer
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Diego Lopes
SaaS Platform: TENET AI (Built on Replit) A multi-tenant AI agent platform developed entirely within the Replit ecosystem. Replit-First Workflow: Cloud IDE: Used Replit as the exclusive environment to build complex Python/FastAPI microservices without local setup. AI Assisted: Leveraged Replit Ghostwriter to accelerate boilerplate generation for the multi-agent orchestration logic. Debugging: Utilized the Replit Shell for real-time testing of WhatsApp API webhooks before pushing to production. Stack: Python, FastAPI, PostgreSQL. (Production deployed via Railway, Development via Replit).
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Diego Lopes
LeadInsights: Data Mining Tool (Developed in Replit) A Python-based lead qualification tool. The entire development lifecycle, from initial scripting to final debugging, was executed within the Replit cloud IDE. Replit Development Workflow: Zero-Setup Environment: Leveraged Replit's pre-configured Python environment to immediately start coding complex data processing scripts using pandas and BeautifulSoup without local dependency hell. Interactive Debugging: Utilized the Replit Shell heavily to run ad-hoc data scraping tests and inspect data frames in real-time before integrating them into the main application logic. Package Management: Managed Python dependencies directly through the Replit console, ensuring a reproducible development environment. Stack: Python, Pandas, Web Scraping Libraries (Developed directly in Replit).
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Diego Lopes
BudgetCalc - Smart Project Estimator
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