We developed an Automatic Rain Sensing Umbrella, a novel solution aimed at enhancing user convenience and weather adaptability. Leveraging sensors and microcontroller technology, this innovative umbrella automatically detects rainfall and opens or closes accordingly, ensuring optimal protection from inclement weather conditions. The project involved integrating hardware components with programming logic to create a seamless and responsive system. Through this endeavor, we gained invaluable hands-on experience in sensor interfacing, microcontroller programming, and real-time data processing. The Automatic Rain Sensing Umbrella not only showcases our technical skills but also demonstrates our creativity in addressing everyday challenges with technology-driven solutions.  Link

EasyShopHub is a project utilizing advanced Data Structures and Algorithms to streamline online shopping experiences. By employing efficient algorithms for search and recommendation systems, along with optimized data structures for storage and retrieval, EasyShopHub enhances user navigation, simplifies product discovery, and improves overall shopping satisfaction.   Link

The Exploratory Data Analysis course project was based on Python and building a machine learning model to predict the metastatic diagnosis period for patients suffering from Triple Negative breast cancer. We worked on various models such as Catboost, LightGBM, XGBoost, and Random Forest, and performed hyper-parameter tuning. This helped gain knowledge about handling imbalanced datasets, evaluating model performance using precision, recall, and F1-score metrics, and understanding the significance of feature importance. The project provided valuable experience in data preprocessing, model selection, and the iterative process of improving model accuracy. Additionally, it enhanced my proficiency in Python, including libraries like Pandas, NumPy, and Scikit-learn, and reinforced the importance of collaborative teamwork and effective communication in achieving project goals.   Link

The project aims to develop a command-line interface (CLI) application designed to manage various system entities, including permissions, roles, users, customers, suppliers, sales, and inventory. The application will facilitate basic CRUD (Create, Read, Update, Delete) operations for each entity. Specifically, it will enable the addition, modification, deletion, and retrieval of permissions by permission_id, roles by role_id, users by user_id, customers by customer_id, suppliers by supplier_id, sales by sale_id, and inventory items by inventory_id. This robust system will help users efficiently manage and organize data related to these entities, ensuring streamlined operations within the system.    Link

Currently a Project Intern at Infosys Under Web-Development Domain