A web application is any program that is accessed over a network connection using HTTP, usually via a web browser. Web apps do not have to be installed on a user’s device; they are run from a remote server. This differs from mobile apps, which are installed on the user’s mobile device, and desktop applications, which are installed on the user’s computer. Common examples of web apps include Flash games, online calculators, calendars, Gmail, and Facebook.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
💰 Scraping, Visualizing, and Analyzing 1,700,000 Entries of Used Cars for Sale on Craigslist to Find The Best Car Deal 🚗
From Notebooks to the Web: Github Pages, Web Servers, and Dash
Static SQLite Viewer in style of Jupyter Notebook
X-notebook is a modern note-taking web application built using the MERN stack. It provides secure cloud storage for your notes, allowing you to create, edit, and delete notes from anywhere with ease
A Django-based movie recommender that uses a trained ML model with a Jupyter notebook for customization. Features an interactive web UI with auto-suggestions and supports both local setup and cloud deployment.
A jupyter notebook web application developed to visualize real-time remote strain and temperature data of instrumented piles with distributed fiber optic sensors.
From Notebooks to the Web: Github Pages, Web Servers, and Dash
ML-powered fraud detection for UPI transactions | 87% F1-Score | XGBoost + Flask | Real-time predictions | Interactive notebooks
An academic project to find the most similar image to the given input image, based on Image Processing, Cosine Similarity Model, StreamLit, written primarily in Python using Visual Studio Code and Jupyter Notebook
It is a Jupyter notebook-based web application developed to visualize real-time temperature data of instrumented geothermal boreholes.
A simple lab checkoff / help queue server and jupyter-notebook client. Intended to be used for college course class logistics..
📊 Explore key data visualization techniques in hospitality using Matplotlib and Seaborn through interactive Jupyter notebooks for insightful analysis.
Detect 18+ languages instantly using machine learning (BERT, LSTM, SVM) and NLP. Includes a Flask web app for real-time predictions, trained models, and detailed notebooks.
A data science project for predicting employee income using a Random Forest model. This repository contains a Google Colab notebook for the entire workflow and a web application built with Streamlit for interactive predictions.
💰 Scraping, Visualizing, and Analyzing 1,700,000 Entries of Used Cars for Sale on Craigslist to Find The Best Car Deal 🚗
Organize, analyze, and learn from your own knowledge. Ask questions, take notes, and gain valuable insights, all in one platform