Streamlit Jobs

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...

I need an interactive dashboard built in Streamlit that lets end-users explore time-series data coming from three different sources—raw CSV uploads, existing relational databases, and live API endpoints. The app should read, clean, and merge these feeds on the fly, then offer clear visual insights through line charts, area charts, and any other plots that make trends, seasonality, and anomalies obvious. Under the hood I expect well-structured, reusable Python code that leans on pandas for manipulation, SQLAlchemy (or similar) for database access, and a lightweight requests layer for the APIs. Caching, session-state handling, and responsive layout controls are important so the interface feels fast even as data volumes grow. Deliverables • Streamlit app folder with modular...

I have apk files and panel files and example app. I need the new app edited wkth the old apps pictures and logos and then panel files uploaded to hosting stite and app tested. Ibo iptv and panel

roject Explained Simply: Automated Fundamental Health Checker This project is a simple tool that checks a company’s financial health automatically. You enter a stock ticker (like TATASTEEL or SUNPHARMA), and the tool: Pulls key financial data such as Assets, Liabilities, Revenue, EBITDA, PAT, and OCI Calculates Total Equity by subtracting liabilities from assets Compares the Intrinsic Value with the current market price Gives a clear Buy / Hold / Sell signal The tool is not meant to be a complex valuation model. It’s a working MVP that shows end-to-end execution. The demo is simple: Enter the ticker Click run Watch the financial data populate See the final decision instantly Including OCI shows a deeper understanding that net profit alone doesn’t tell the ful...