This project builds a machine learning-based spam detection system to classify SMS messages as "ham" or "spam." It uses NLP techniques for feature extraction and evaluates models like Naive Bayes, KNN, Decision Tree, SVM, and Random Forest to find the best performing spam classifier.
This project leverages machine learning techniques to assess and predict mental health risk based on behavioral data. The model is designed to analyze factors relating to internet and technology usage and provide an analysis of the user's mental wellness.
This repository contains my solutions to various competitive programming problems across different platforms. Each solution is organized by problem type and difficulty, with a focus on enhancing problem-solving skills and mastering algorithms and data structures.
This repository contains a clone of the Airbnb API, designed to simulate the core functionalities of the platform. The API includes endpoints for user authentication, property listings, booking management, and more.