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SMS Span Detection & Classification
SMS Spam Detection is a machine learning project designed to automatically classify SMS messages as spam or ham (non-spam). With the rising number of spam messages, this system helps protect users by filtering unwanted or potentially harmful messages. This project uses Natural Language Processing (NLP) techniques and Naive Bayes classifiers to accurately detect spam messages.
Face Recognition Attendance System
The Face Recognition Attendance System is a cutting-edge web application built with Django, OpenCV, and Python’s face_recognition library. It automates student attendance by detecting and recognizing faces in real-time using a webcam feed. The system ensures accurate attendance tracking and prevents duplicate entries, making it ideal for schools, colleges, and training institutes.
Data and document completeness checker
Easily validate and verify your data and documents in just a few clicks. The Data & Document Completeness Checker is a powerful yet simple Python + Streamlit tool that lets you upload a CSV file, rules DOCX file, and PDF documents to automatically check missing data fields and detect missing documents. Ideal for compliance, finance, insurance, and data teams.