Building useful ML-powered web apps using Streamlit, Python, and real-time APIs
I offer fast, high-quality development of Streamlit applications tailored to your data, your goals, and your audience.
Need help with a university project, thesis, or prototype? I can turn your data or model into a clean, interactive app.
Rapidly prototype dashboards, analytics tools, or data-powered MVPs. Connect APIs, databases, and ML in days, not weeks.
Have an idea? Want to track buses, flights, crypto, or weather data? I’ll help you build your app fast and beautifully.
Forecast cryptocurrency prices using historical data, Yahoo Finance, and the CoinGecko API. Built with Python and Streamlit.
Machine learning app that predicts stock trends for S&P 500 companies using Yahoo Finance data and statsmodels.
Real-time data visualisation app that maps bus routes and arrival times using the National Transport API and Folium.
Interactive flight status tracker with airline selector. Built with Streamlit for easy public deployment and UX.
Run key statistical tests like T-tests, confidence intervals, and normality checks with a user-friendly interface.
Transform structured JSON into a fully navigable SQLite database with SQL query support via Streamlit UI.
Create synthetic IID and non-IID datasets for ML experimentation using customisable features and distributions.
Predict the likelihood of insurance claims using customer profile data with a simulated ML pricing engine.
Analyse inventory, forecast demand, and segment customers in a healthcare logistics setting using real business logic.
Fun app featuring Homer Simpson. Demonstrates use of images and playful UX inside Streamlit.
Access all my Streamlit applications directly from my official Streamlit developer profile: