Developed a fully functional, web-based prototype application designed to simplify and streamline the process of purchasing medicines online. The application enables users to browse, search for, and buy any required medication with a single click, offering a user-friendly and efficient experience. The goal was to create a seamless and intuitive platform for users to order medicines quickly and securely.
STOCKIE is an innovative web-based application designed to provide users with comprehensive tools for real-time stock tracking, market analysis, and future price prediction. The platform empowers users to stay informed about the latest market trends by offering live stock price updates, relevant financial news, and predictive insights powered by machine learning algorithms. Additionally, STOCKIE includes interactive data visualizations that help users analyze stock performance and make informed investment decisions.
BookCycle is a mobile application designed to simplify the process of buying and selling books. The app offers an intuitive platform where users can list books for sale and search for books to purchase, making it easier for individuals to exchange reading materials within a community. The application includes comprehensive database functionalities to store and manage user and book data, a powerful search feature to quickly locate books, and user profiles to display relevant information.
This project focuses on predicting human actions by analyzing motion and activity data obtained from labeled datasets. The primary objective is to process and interpret time-series data that represent various physical activities and predict human actions with high accuracy. By leveraging advanced machine learning techniques, the system identifies patterns in human behavior, making it useful for applications in surveillance, healthcare monitoring, sports analytics, and human-computer interaction.
This project involves designing and developing programmable robotic bots using platforms like Arduino Uno. The main objective is to create robots capable of autonomous and controlled behaviors by processing sensor data and executing precise motor control. These bots are tailored for tasks such as obstacle avoidance, line following, remote control via Bluetooth, voice commands, and maze-solving operations. Through hands-on experimentation, the project emphasizes integrating hardware components like sensors and actuators with microcontrollers, complemented by efficient programming for real-time interactions.