End-to-end implementation of Spam Detection in Email using Machine Learning, Python, Flask, Gunicorn, Scikit-Learn, and Logistic Regression on the Heroku cloud application platform.

The Spam Mail Classification project is a web-based application that uses machine learning to classify emails as spam or ham. It features a Flask backend, a frontend created with HTML, CSS, and JavaScript, and a MySQL database for storing user data and email classifications.

This project is POC for Smart India Hackathon 2020. This Django based website. It includes three machine learning models - Loan Prediction Model, Admission Prediction Model and Email Spam Detection Model

ML projects

A Web Application integrated with Machine Learning to classify YouTube Comments as Spam or Not-Spam

A laravel package to check URLs with Google's Safe Browsing API.

Cybersecurity web app for analyzing URLs to show threats using VirusTotal. User-friendly with community-driven reporting and informative blogs.

Our script can run on a large list of phone numbers and report in real time on numbers flagged as spam or fraud

The Spam Detector for Email and SMS is a software tool that analyzes messages sent via email or SMS to identify and filter out spam. It uses machine learning algorithms to scan messages and determine whether they are spam or not, based on a variety of factors.

A naive bayes spam classifier from sms messages

OOPSpam Anti-Spam API blog

A robust spam detection system tailored for IoT devices, employing advanced algorithms to accurately identify and filter out malicious communications, ensuring the security and integrity of connected devices and networks.

Spam Ham Classifier: A Python Flask application for categorizing messages as spam or ham. This classification is based on analyzing existing data in the database and predicting the likelihood of a message being spam or ham, without the use of machine learning.

A machine learning and NLP based web Application to detect SMS as Spam or Ham built with Flask and deployed using Heroku.

OOPSpam project website

Simple spam detection app integarted with Flask and deployed over heroku.