Sentiment Analysis



For my Brainwave Matrix Solutions internship, I developed a Sentiment Analysis to collect, clean, and analyze book data from Data Source. Using Python, capturing details such as Sentiments of Customers.
After collecting the raw Airline data, I applied Pandas for data cleaning: standardizing columns, removing duplicates, handling missing values, and converting prices into numerical values. I then validated the dataset and created visual insights such as Sentiment distribution
The final dataset is showcasing my skills in data preparation, and visualization.
View on GitHubAi Mathematics Tutor

A web app that uses AI to help students learn math. Built with HTML, CSS, and JavaScript. The app provides interactive lessons, practice problems, and instant feedback.
View on GitHubAi Website builder

A web app builded using Cursor IDE that helps to build simple websites using AI.
The web App insures my skills in vibe coding
View on GitHubUniversity Housing Management System – Graduation Project

Developed a full-stack web platform to automate student housing processes, from application submission to admin approval and service access.
Led the frontend development using Angular, with backend logic implemented in Java using Spring Boot, and MySQL as the database.
Implemented authentication, role-based access control, and real-time request tracking to enhance efficiency and user experience.
View on GitHub