You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A Python-based project for detecting, classifying, and regularizing shapes from CSV files containing XY coordinates. Features include contour smoothing, shape classification, and a Flask-based web interface for visualization.
This repository contains an Inflation Predictor ML Project using Flask. The project aims to predict the inflation rate based on economic indicators such as GDP and the unemployment rate.
This Flask-based web app uses a VGG19 model to predict brain tumor types from MRI images. It allows image uploads, performs predictions, and stores patient data in a MySQL database.
A comprehensive repository for a Traffic Signs Classification project, featuring a web application built with Flask and Tailwind CSS, and an Android application utilizing TensorFlow Lite for real-time classification.
The Word Cloud Generator Web Application is a Python-based tool that creates word cloud images from text data uploaded via CSV files. Built with Flask for the web interface and the wordcloud library for generating visualizations, it offers a user-friendly way to visualize text data.
Imagine having a personalized bookshelf, curated just for you. BookBloom is a innovative web application that brings this vision to life, using the power of Flask and Jupyter Notebook. This project combines the best of web development and data science to provide users with tailored book recommendations, based on their unique preferences and the cha
The League of Legends Mastery Checker is a Flask web application that allows users to check their top champion masteries. It utilizes the Riot Games API to retrieve account information and champion mastery data.
This repository contains a project for fruit recognition using the Fruits-360 dataset. The project leverages computer vision techniques, image segmentation, color histogram extraction, and machine learning classifiers to classify fruits into different categories.