The aim of this project is to develop a robust Automatic Speech Recognition (ASR) system that can accurately convert spoken language into text using MATLAB. The system will leverage signal processing techniques and machine learning algorithms to achieve high recognition accuracy in various conditions.Speech Signal Acquisition: Capture audio input using a microphone.Model Training: Implement machine learning algorithms (e.g., Hidden Markov Models, Neural Networks) to train the model on a dataset of spoken words or phrases.Recognition: Develop algorithms to match the extracted features to trained models and convert them into text.Evaluation: Assess the performance of the ASR system using metrics like accuracy, precision, and recall.

The Online Learning Management System (LMS) is a web-based platform designed to facilitate the creation, delivery, and management of educational content for students and instructors. Built using HTML, CSS, JavaScript, ReactJS, and SQL, the project ensures an intuitive and responsive user interface, as well as efficient data management.