Computer Science undergraduate with strong foundations in Data Structures, Algorithms, and Object-Oriented Programming. Proficient in Java, DBMS, and operating systems, with web development expertise in HTML, CSS, and JavaScript. Proven leadership in organizing and executing major technical events. Seeking to leverage technical and creative skills in impactful software projects.
1) MetaRide:
A comprehensive mobile-first application designed to simplify on-campus commuting by integrating cab booking using React Native, Tailwind CSS, Node.js, Express.js and MongoDB. Focused on safety, affordability, and efficiency, it allows students to find shared rides and get live updates.
2) Email Spam Detection using Machine Learning:
Developed an email spam detection system using machine learning techniques to classify emails as spam. The project involved preprocessing textual data using natural language processing (NLP) techniques such as tokenization, stopword removal, and TF-IDF vectorization Implemented and compared multiple supervised learning algorithms, including Naive Bayes, Logistic Regression, and Support Vector Machine, achieving an accuracy of over 95% Utilized a publicly available dataset from Kaggle and evaluated model performance using metrics like precision, recall, F1-score, and confusion matrix. The project was implemented in Python using libraries such as Scikit-learn, Pandas, and Matplotlib.
3) Mario Platformer:
A Mario-platformer game using HTML and JavaScript.