YouTube Transcript Summarization over Flask: This back-end uses Flask framework to receive API calls from the client and then respond with the summarized text response. This API can work only on those YouTube videos which has well-formatted closed captions in it. The same backend also hosts a web version of the Summarizer.

A Flask Pneumonia Detection web app from chest X-Ray Images using CNN

This project aims to classify music genres. CNN architecture and GTZAN dataset were used for model training. Finally, a Web Application was made with Flask.

A web-app to detect humans in a picture, video, or using webcam.

Frontend for NetworkX using Flask.

Pick a date and explore websites from the early days of the internet to now all in an easy-to-use browser format! 💻

Phyton Flask Cuteblog for flask blogger free download source code with sql

This Flask Music App is a web application built with Flask that allows users to upload, download, play, and delete songs. It provides a user-friendly interface for browsing and managing a collection of music tracks.

Flask web application powered by NEWS API.

blog app with flask, many features inside there

Using flask, bokeh, and yfinance, the webapp show a chart with stock price history

docker dashboard platform

In this project, sentiment analysis is made from the sentences of the model trained with LSTM and also SMS classification is made with Naive Bayes. Thereafter, a Web Application was made with Flask.

This is machine learning loan status classifier web application design & developed using Python HTML CSS JavaScript

Little project inspired by TechWithTim

Flask Web App with sql alchemy.

A web-app to store and retrieve notes

Flask Web Application Template

MealMatch is an intelligent web application that suggests recipes based on the ingredients you already have at home. It leverages a multi-agent architecture using MESA and integrates with the Spoonacular API to retrieve real-world recipes.

This project is a Movie Recommendation System built using Flask and machine learning (KMeans clustering). It helps users find movies similar to ones they already enjoy, based on features like genres, popularity, and user ratings. The app uses unsupervised learning to group similar movies and recommends top-rated titles from the same cluster.