Self hosted web analytics for endurance athletes
A step-by-step guide for deploying your Dash application on Render
Connect gpus with your eyes.
Summary of 'genomic analysis' conducted at the Right Information company. Code for our portfolio page.
Using batman-adv to connect several raspberrypi to a mesh network and creating a vernemq cluster
This app integrates the Segment Anything Model (SAM) with Sentinel-2 data. The app is built using Dash Plotly and dash leaflet. It allows segmenting satellite images using the two ways provided by SAM: automatic mask generator and prompt segmentation (using points and bounding boxes).
Sentiment analysis for tweets written in Portuguese-Brazil
A dashboard for helping beginners identify trading opportunities through technical analysis, fundamental analysis, and possible future projections.
This is a web application to visualize various famous technical indicators and stocks tickers from user
A complete stack for running a Docker container with Python 3.8 and all the necesary dependencies for Dash Plotly with GUnicorn as HTTP Server.
Dash web app for binary classification model selection
Simulation model to run scenarios on staffing/operations readiness for a call center
A Reddit Post Sentiment Analysis Dashboard created with Python using PRAW and Dash Plotly
This is a Web Application meant for interactively visualizing the K-means clustering algorithm. The purpose is to showcase the strengths and limitations of the method under different settings (data shape, size, number of clusters, number of centroids, initialization method etc.).
▶ Crypto App Index is a dedicated Discord bot designed to provide real-time rankings of crypto apps, cryptocurrency popularity, historical position charts, market sentiment, and instant alerts on Discord for any changes in rankings!
E-commerce dashboard that displays a number of aggregated data and analytics from sale data.
based on the Yandex Practicum educational project
A single-page web application using Dash (a python framework) and LSTM based machine learning models which will show company information (logo, registered name and description) and stock plots based on the stock code given by the user. Also the ML model will enable the user to get predicted stock prices for the date inputted by the user.
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