Projects using Python in State of São Paulo
Projects using Python in State of São Paulo
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Sharles Maurício Mariano
A2INET – Alzheimer’s Disease MRI Classification
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Andre Muniz
I'm currently building Omnicrm.chat (http://OmniCRM.chat). A CRM and multichannel communication platform designed to keep customer conversations, sales opportunities, and operational workflows in a single workspace. Most teams still manage WhatsApp, Telegram, email, proposals, tasks, and customer records across multiple disconnected tools. The result is lost context, duplicated work, and a fragmented customer experience. With OmniCRM.chat (http://OmniCRM.chat), conversations can evolve into opportunities, projects, and tasks without manual data entry. The goal is to connect communication, CRM, and execution into one platform, while creating a foundation for future AI-driven automation across the entire customer lifecycle.
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Nicolas Langhi
Web Scraping & Data Extraction Solutions | Python & Scrapy Developed automated data extraction solutions to collect, process, and deliver business-critical information from websites and online platforms. Full Description: As part of my work at Cotefácil, I developed web scraping solutions using Python and Scrapy to gather information from partner platforms and e-commerce websites. The extracted data was processed and integrated into internal systems, supporting automation workflows and business operations. The focus was on creating reliable, maintainable, and scalable scraping solutions capable of handling large volumes of information efficiently. Technologies: Python, Scrapy, Data Extraction, Web Crawling, Automation, Data Processing. Key Achievements: ✔ Developed scalable web scraping solutions using Scrapy ✔ Automated data collection from external platforms ✔ Reduced manual effort through automated extraction workflows ✔ Supported business integrations with high-quality structured data
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Henrique Oliveira Dos Santos
HenriqueOs98/sb-backend-challenge
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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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Fernando Freitas
Insights AI | Web app for auto data analysis
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Thiago Oliver
I designed the UI and user experience for +Saúde, a wellness app focused on healthy habits, daily progress, and personal care. The project includes: ✨ Gamified daily goals ✨ XP, levels, and rewards system ✨ Clean and intuitive dashboard ✨ Appointments, digital ID card, and medication tracking ✨ Modern and minimal UI built for everyday usability Each screen was crafted with clarity, motivation, and user-friendly interaction in mind, delivering a functional and engaging experience. If you need app design, professional UI/UX, or a complete modern interface for your project, I’m open to new collaborations.
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Pedro Felipe da Silva
GDP Scraper for Wikipedia Data
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Rodrigo Faria
Microtutorials
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Guilherme Farinassi
Bug Bounty Research - Web Vulnerability Discovery Conducted independent bug bounty research on public VDP and paid programs (Bugcrowd/HackerOne). Discovered and reported multiple valid vulnerabilities including IDOR exposing PII, stored XSS in user-controlled fields, SSRF via internal metadata endpoint, authentication bypass via JWT manipulation, and sensitive data exposure through misconfigured S3 buckets. Findings spanned government agencies, SaaS platforms, and financial services targets. Documented all findings with full reproduction steps, CVSS scoring, and business impact analysis following responsible disclosure guidelines.
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Gabriel Felix dos Santos
📁 CSV Analyser
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Caio Sanches
Automating SAP Login and Data Update with Selenium and Python
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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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Caio Bauab
Project Overview Dashboard
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Eduardo Takemura
Handwritten Digits Classifier
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Daniel Paschoalino
Automation Collection NBA Players
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