streamlit-project

Steamrip Shift

Stock Price Prediction Hybrid Model

Streamfab Turbo

Python Video Editor Website

Introducing a cutting-edge background removal project powered by the Segment Anything algorithm. Seamlessly remove backgrounds from images with precision. Experience user-friendly interaction through a Streamlit application, making it easy to enhance visuals effortlessly. Elevate your creative projects with this innovative and accessible tool

🔍 A CLIP-powered image similarity finder built with Streamlit — upload a query image and find the most visually similar matches from a gallery using deep visual embeddings.

FinMate is a Streamlit-based personal finance app that analyzes user inputs like income, city, and goals to offer personalized investment advice. It features an interactive UI, generates professional PDF reports, and helps users manage finances effectively with smart recommendations.

Blush is a secure space for unsaid words. Send a private message that vanishes after one read, or post an anonymous secret to the public wall—created for moments meant to be felt, not stored.

stock analysis and visualisation app using streamlit app and yfinance API

MBA-level interactive STP (Segmentation, Targeting, Positioning) learning suite with 5C situation analysis. Practice marketing strategy across 15 scenarios. Python/Streamlit.

InsightFlow Data Explorer is a user-friendly Streamlit application that allows users to upload CSV files and instantly generate interactive visualizations. Powered by Plotly, it supports various chart types like bar, line, scatter, pie, and area, with dynamic customization options for axes, colors, and sizes.

Streamlit Developer Portfolio: Showcasing professional Streamlit app development and deployment services by Jose Rico. Includes projects, resources, and tools to help students, businesses, and creators build and deploy custom Streamlit applications effortlessly.

Interactive MBA-level SWOT analysis & TOWS matrix strategy trainer. Practice strategic categorization and TOWS pairing across 10 business scenarios. Built with Python/Streamlit.