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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 webapp that scans food product labels and rates them on a scale of 5 based on the Australian/Singaporean food rating protocols/guidelines and also suggests best alternative for the product you scanned.
Deploy an Article CMS to Azure Cloud Developer - A simple Content Management System (CMS) for articles, where a user can log in, view published articles, and publish new articles.
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 builds an app called "Neighborly". Neighborly is a Python Flask-powered web application that allows neighbors to post advertisements for services and products they can offer. The Neighborly project is comprised of a front-end application that is built with the Python Flask micro framework. The application allows the user to view, cr…
This repository houses a geocoding web application built in Python with Flask that transforms address data within a file into precise latitude and longitude coordinates. Upon uploading a file, users can preview the output table on the website, download the converted file, and visualise the exact location of each address on a map.
Alat berbasis web untuk penetration testing yang melakukan enumerasi username secara otomatis di berbagai platform media sosial dan situs online. Menggunakan pendekatan hybrid antara permintaan asinkron dan teknik bypass Cloudflare untuk validasi akun dengan cepat, serta menampilkan hasil dalam dashboard modern yang mudah digunakan.
Built and deployed a Flask-based machine learning system to predict loan default risk using customer demographics and financial indicators. Applied advanced ensemble models like XGBoost and LightGBM to achieve ~99% accuracy. Designed a full-stack solution with real-time prediction capabilities, enabling faster, smarter loan decisions in banking.
Given a dataset of movie titles and descriptions, implements text search using BM25 to score, classifies movies by genre, and generates captions for movie scenes