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This project implements machine learning techniques in MATLAB to detect cardiac pathologies from medical data. The system compares different classification methods and employs feature selection to …
It is full-stack web application that enables users to launch targeted SMS campaigns efficiently. It combines smart web scraping, AI-driven number classification, and bulk messaging to maximize cam…
It is a fast and lightweight mobile application built with Flutter, designed for seamless real-time QR code scanning. Using the device's camera, the app automatically detects and decodes QR codes, …
It is a web-based app that provides personalized medical suggestions based on user symptoms. Developed with Flask (Python) for the backend and HTML/CSS for the frontend, it uses machine learning to…
A machine learning project to classify breast cancer tumors as malignant or benign using the Wisconsin Breast Cancer Dataset. It compares multiple classification algorithms including Logistic Regre…