Streamlit Jobs

We need a Python expert to build an end-to-end automated web-scraping and data-processing system for German B2B directories. The goal is to eliminate all manual steps — scraping, cleaning, deduplication, enrichment, and export — within 15 days. You’ll design and implement a high-speed, fault-tolerant pipeline that scrapes ~10 directories, normalizes data (including Umlauts and formatting), removes duplicates, detects updates, and exports clean structured data automatically. ⸻ Core Responsibilities • Develop asynchronous scraping system (Python 3.11+, aiohttp/httpx/Scrapy/Playwright). • Build deduplication & change-detection logic using hash comparison and timestamps. • Design and connect central database (PostgreSQL + SQLite) to store unique compa...

Build Full Stack API with FastAPI, PostgreSQL & Streamlit UI You said: Uploaded image Give me matter for this ChatGPT said: Good. This is important. If you write a weak description, you’ll attract low-quality freelancers. If you write clearly, you get serious professionals. I’ll give you a strong, clear project description you can directly paste. Option 1: FastAPI + PostgreSQL + Streamlit Project Project Title Idea: Build Full Stack API with FastAPI, PostgreSQL & Streamlit UI I need a developer to build a full-stack application using FastAPI, PostgreSQL, and Streamlit. Project Requirements: • Build REST APIs using FastAPI • Connect to PostgreSQL database • Implement full CRUD operations (Create, Read, Update, Delete) • Database table fi...

I am looking for a tutor who can help me understand, in a comprehensive and step-by-step manner, how to deploy a production-ready dashboard that displays the results of a model. My current stack includes: Google Cloud Platform (GCP) Vertex AI Workbench (where I trained the model) Streamlit (for the dashboard) Git and GitHub (for version control) I already have: A trained model in Workbench The .py files developed A structured and synchronized GitHub repository The intention to deploy everything in GCP However, I am not only looking for help with deployment — I want to fully understand the technical process behind it, including: How to properly structure the project for production. How to connect the trained model to the dashboard. The best architecture choice in GCP for...