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LIBRARY MANAGEMENT SYSTEM: I developed a Library Management System from inception to implementation, utilizing MySQL for backend database management and HTML/CSS for frontend interface. I led the conceptualization of database structure using Entity-Relationship diagrams and executed its realization in MySQL. Additionally, I drove the optimization of SQL queries for streamlined data management, showcasing proficiency in database design, query optimization, and frontend development through hands-on project leadership and execution.

MSC Program Application : The MSC Program Application is a specialized platform developed to address the requirement of Web application for Master’s Program. It offers different Users an easy-to-use registration and login method, as well as access to their respective Dashboard. I developed a comprehensive application using React, Laravel, PHP, Node.js, and AI speech recognition technology. This versatile platform features a user-friendly frontend crafted with React, robust backend functionalities powered by Laravel and PHP, real-time communication facilitated by Node.js, and innovative voice-controlled capabilities through AI speech recognition.

Sentiment Analysis on Movie Reviews using BiLSTM-ATT hybrid model : Implemented a sentiment analysis project using a BiLSTM-ATT model to determine emotional tone in text data, drawing inspiration from research papers such as "Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model." Conducted experiments on the IMDB movie review dataset and compared performance against standard machine learning models like SVM and Bayesian networks. Aimed to enhance accuracy and generalization ability by recreating and improving upon existing sentiment analysis models.