MyStarty - Startup MVP
As the sole frontend developer for the "MyStarty" startup, I led the development of the entire user interface from concept to launch. Collaborating directly with a backend developer, I successfully delivered a fully functional Minimum Viable Product (MVP), establishing the foundation of the company's web presence.
Predicting Employee Attrition
This project explored workforce analytics by building a model to predict employee attrition. I implemented and evaluated various supervised and unsupervised machine learning techniques. The Random Forest algorithm proved to be the most effective, achieving the highest accuracy in predicting outcomes based on the dataset.
Cosmic Vision: NASA Hackathon
As part of a collaborative team for the NASA Space App Challenge, I contributed to Cosmic Vision, an interactive 3D space exploration app. The platform features real-time celestial tracking and educational data on Near-Earth Objects (NEOs), brought to life with smooth animations and a 3D solar system model.
Invest'In - Stock Simulator
Developed a full-stack, real-time stock trading simulator using React and Firebase. The platform integrates multiple APIs for live market and news data, while utilizing Firebase Auth and Firestore for secure user management and transaction logging. Community engagement is fostered through market discussions, direct messaging, and an AI-powered chatbot. The application is hosted on Vercel, leveraging serverless functions for all backend logic and secure API interactions.
Connect Four with AI
This project showcases a deep understanding of game logic and efficient algorithm implementation. It features a scalable Connect Four game built with C++ and rendered using OpenGL. The AI opponent is powered by a challenging Minimax algorithm, and the codebase is meticulously organized for maintainability and scalability, using SQLite3 for efficient data handling.
musicD - Music Downloader
musicD is a desktop application that simplifies music discovery and downloading. It features a modern GUI built with CustomTkinter that fetches track data from the iTunes API. For downloading, the app intelligently automates web scraping tasks using Selenium and WebDriver to retrieve music files seamlessly.