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My Projects
TheaterHub
TheaterHub
TheaterHub is a web platform centralizing movies, books, and web series into one seamless entertainment hub. It was designed to simplify content discovery by providing a single, user-friendly site for browsing listings and reviews. The front-end was built using Plain HTML for structure and CSS for responsive styling.
Shop Billing System
Shop Billing System
This "Shop Billing System" is a desktop application built to replace error-prone manual billing in retail stores. It provides a fast, accurate, and automated solution for generating invoices and managing transactions. The application was developed in Java using Object-Oriented Programming (OOP) principles in the Eclipse IDE.
Hospital Triage System
Hospital Triage System
A command-line application in C that simulates a hospital emergency room triage. It uses queue data structures to prioritize patients based on the severity of their condition, ensuring critical patients are seen first. The project demonstrates a practical application of priority queues to manage dynamic data in a resource-critical environment.
Pick and Place Robotic Arm Simulation
Pick and Place Robotic Arm Simulation
This project is the design and simulation of a "pick-and-place" robotic arm intended to automate material handling tasks in a virtual industrial environment. The objective was to create a multi-DOF (degree of freedom) arm that uses inverse kinematics algorithms for precise, repeatable motion and object handling. The entire system, including its trajectory planning and simulated gripper, was developed and controlled using MATLAB and Simulink
Elevator Controller Logic ( Verilog )
Elevator Controller Logic ( Verilog )
This project is a digital "Elevator Controller Logic" circuit designed to efficiently manage an elevator's movement between multiple floors. The controller's "brain" was implemented as a Finite State Machine (FSM) to handle states like IDLE, MOVE_UP, and MOVE_DOWN . The entire system was designed using the Verilog hardware description language (HDL) and verified with a comprehensive testbench in EDA Playground.
Loan Approval Prediction
Loan Approval Prediction
This project is a Loan Approval Prediction system, developed during a 10-day ECS department internship. It was built to predict an applicant's likelihood of defaulting on a loan by analyzing their personal and financial data. The project involved training and comparing two machine learning models, Logistic Regression and a Decision Tree Classifier, using Python (Scikit-learn, Pandas). A Power BI dashboard was also developed to visualize the dataset and the factors influencing loan defaults.
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